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2020 – today
- 2024
[j148]Faqian Guan
, Tianqing Zhu, Wanlei Zhou, Kim-Kwang Raymond Choo:
Graph neural networks: a survey on the links between privacy and security. Artif. Intell. Rev. 57(2): 40 (2024)- [j147]Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou:
A two-stage model extraction attack on GANs with a small collected dataset. Comput. Secur. 137: 103634 (2024) - [j146]Wenhan Chang, Tianqing Zhu:
Gradient-based defense methods for data leakage in vertical federated learning. Comput. Secur. 139: 103744 (2024) - [j145]Chi Liu, Tianqing Zhu, Yuan Zhao, Jun Zhang, Wanlei Zhou:
Disentangling different levels of GAN fingerprints for task-specific forensics. Comput. Stand. Interfaces 89: 103825 (2024) - [j144]Mengmeng Yang, Taolin Guo, Tianqing Zhu, Ivan Tjuawinata, Jun Zhao, Kwok-Yan Lam:
Local differential privacy and its applications: A comprehensive survey. Comput. Stand. Interfaces 89: 103827 (2024) - [j143]Huajie Chen, Chi Liu, Tianqing Zhu, Wanlei Zhou:
When deep learning meets watermarking: A survey of application, attacks and defenses. Comput. Stand. Interfaces 89: 103830 (2024) - [j142]Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu:
Machine Unlearning: A Survey. ACM Comput. Surv. 56(1): 9:1-9:36 (2024) - [j141]Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu:
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff. ACM Comput. Surv. 56(2): 39:1-39:37 (2024) - [j140]Qingzheng Xu, Huiqiang Chen, Heming Du, Hu Zhang, Szymon Lukasik, Tianqing Zhu, Xin Yu:
M3A: A multimodal misinformation dataset for media authenticity analysis. Comput. Vis. Image Underst. 249: 104205 (2024) - [j139]Liang Xue, Tianqing Zhu:
Hybrid resampling and weighted majority voting for multi-class anomaly detection on imbalanced malware and network traffic data. Eng. Appl. Artif. Intell. 128: 107568 (2024) - [j138]Yunjiao Lei, Dayong Ye, Congcong Zhu, Sheng Shen, Wanlei Zhou, Tianqing Zhu:
A GNN-based teacher-student framework with multi-advice. Expert Syst. Appl. 250: 123887 (2024) - [j137]Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Xin Yu, Wanlei Zhou:
Proactive image manipulation detection via deep semi-fragile watermark. Neurocomputing 585: 127593 (2024) - [j136]Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu:
MeST-Former: Motion-enhanced Spatiotemporal Transformer for generalizable Deepfake detection. Neurocomputing 610: 128588 (2024) - [j135]Wei Zhou, Tianqing Zhu, Dayong Ye, Wei Ren, Kim-Kwang Raymond Choo:
A Concurrent Federated Reinforcement Learning for IoT Resources Allocation With Local Differential Privacy. IEEE Internet Things J. 11(4): 6537-6550 (2024) - [j134]Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou:
Blockchain-Empowered Multiagent Systems: Advancing IoT Security and Transaction Efficiency. IEEE Internet Things J. 11(7): 11217-11231 (2024) - [j133]Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou:
Location-Based Real-Time Updated Advising Method for Traffic Signal Control. IEEE Internet Things J. 11(8): 14551-14562 (2024) - [j132]Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou:
Blockchain-Based Gradient Inversion and Poisoning Defense for Federated Learning. IEEE Internet Things J. 11(9): 15667-15681 (2024) - [j131]Minghao Wang, Tianqing Zhu, Xuhan Zuo, Dayong Ye, Shui Yu, Wanlei Zhou:
Public and Private Blockchain Infusion: A Novel Approach to Federated Learning. IEEE Internet Things J. 11(10): 17525-17537 (2024) - [j130]Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
PPFed: A Privacy-Preserving and Personalized Federated Learning Framework. IEEE Internet Things J. 11(11): 19380-19393 (2024) - [j129]Xiaoya Wang, Tianqing Zhu, Wanlei Zhou:
Supplement data in federated learning with a generator transparent to clients. Inf. Sci. 666: 120437 (2024) - [j128]Yuexin Xiang, Tiantian Li, Wei Ren, Jie He, Tianqing Zhu, Kim-Kwang Raymond Choo:
AdvEWM: Generating image adversarial examples by embedding digital watermarks. J. Inf. Secur. Appl. 80: 103662 (2024) - [j127]Congcong Zhu, Dayong Ye, Huan Huo, Wanlei Zhou, Tianqing Zhu:
A location-based advising method in teacher-student frameworks. Knowl. Based Syst. 285: 111333 (2024) - [j126]Mengde Han, Tianqing Zhu, Wanlei Zhou:
Fair Federated Learning with Opposite GAN. Knowl. Based Syst. 287: 111420 (2024) - [j125]Kun Gao, Tianqing Zhu, Dayong Ye, Wanlei Zhou:
Defending against gradient inversion attacks in federated learning via statistical machine unlearning. Knowl. Based Syst. 299: 111983 (2024) - [j124]Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou:
A realistic model extraction attack against graph neural networks. Knowl. Based Syst. 300: 112144 (2024) - [j123]Sheng Shen, Dayong Ye, Tianqing Zhu, Wanlei Zhou:
Privacy preservation in deep reinforcement learning: A training perspective. Knowl. Based Syst. 304: 112558 (2024) - [j122]Yunjiao Lei, Dayong Ye, Tianqing Zhu, Wanlei Zhou:
A federated advisory teacher-student framework with simultaneous learning agents. Knowl. Based Syst. 305: 112637 (2024) - [j121]Faqian Guan, Tianqing Zhu, Hanjin Tong, Wanlei Zhou:
Topology modification against membership inference attack in Graph Neural Networks. Knowl. Based Syst. 305: 112642 (2024) - [j120]Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou:
Boosting Model Inversion Attacks With Adversarial Examples. IEEE Trans. Dependable Secur. Comput. 21(3): 1451-1468 (2024) - [j119]Hui Sun, Tianqing Zhu, Jie Li, Shouling Ji, Wanlei Zhou:
Attribute-Based Membership Inference Attacks and Defenses on GANs. IEEE Trans. Dependable Secur. Comput. 21(4): 2376-2393 (2024) - [j118]Dayong Ye, Tianqing Zhu, Kun Gao, Wanlei Zhou:
Defending Against Label-Only Attacks via Meta-Reinforcement Learning. IEEE Trans. Inf. Forensics Secur. 19: 3295-3308 (2024) - [j117]Shuai Zhou, Tianqing Zhu, Dayong Ye, Wanlei Zhou, Wei Zhao:
Inversion-Guided Defense: Detecting Model Stealing Attacks by Output Inverting. IEEE Trans. Inf. Forensics Secur. 19: 4130-4145 (2024) - [c46]Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu:
Detection of Diffusion Model-Generated Faces by Assessing Smoothness and Noise Tolerance. BMSB 2024: 1-6 - [c45]Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou:
Machine Unlearning via Null Space Calibration. IJCAI 2024: 358-366 - [c44]Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks. IJCAI 2024: 512-520 - [c43]Peng Chen, Chi Cheng, Jinnuo Li, Tianqing Zhu:
Enhancing Portability in Deep Learning-Based Side-Channel Attacks Against Kyber. ISPEC 2024: 151-167 - [c42]Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou:
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers. USENIX Security Symposium 2024 - [e3]Tianqing Zhu, Yannan Li:
Information Security and Privacy - 29th Australasian Conference, ACISP 2024, Sydney, NSW, Australia, July 15-17, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14895, Springer 2024, ISBN 978-981-97-5024-5 [contents] - [e2]Tianqing Zhu, Yannan Li:
Information Security and Privacy - 29th Australasian Conference, ACISP 2024, Sydney, NSW, Australia, July 15-17, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14896, Springer 2024, ISBN 978-981-97-5027-6 [contents] - [e1]Tianqing Zhu, Yannan Li:
Information Security and Privacy - 29th Australasian Conference, ACISP 2024, Sydney, NSW, Australia, July 15-17, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14897, Springer 2024, ISBN 978-981-97-5100-6 [contents] - [i65]Jiyao Li, Mingze Ni, Yifei Dong, Tianqing Zhu, Wei Liu:
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization. CoRR abs/2402.11940 (2024) - [i64]Youyang Qu, Ming Ding, Nan Sun, Kanchana Thilakarathna, Tianqing Zhu, Dusit Niyato:
The Frontier of Data Erasure: Machine Unlearning for Large Language Models. CoRR abs/2403.15779 (2024) - [i63]Huiqiang Chen, Tianqing Zhu, Xin Yu, Wanlei Zhou:
Machine Unlearning via Null Space Calibration. CoRR abs/2404.13588 (2024) - [i62]Wenhan Chang, Tianqing Zhu, Heng Xu, Wenjian Liu, Wanlei Zhou:
Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning. CoRR abs/2405.15662 (2024) - [i61]Xuhan Zuo, Minghao Wang, Tianqing Zhu, Lefeng Zhang, Shui Yu, Wanlei Zhou:
Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach. CoRR abs/2405.20776 (2024) - [i60]Xuhan Zuo, Minghao Wang, Tianqing Zhu, Lefeng Zhang, Dayong Ye, Shui Yu, Wanlei Zhou:
Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning. CoRR abs/2406.04076 (2024) - [i59]Xiaobiao Du, Haiyang Sun, Shuyun Wang, Zhuojie Wu, Hongwei Sheng, Jiaying Ying, Ming Lu, Tianqing Zhu, Kun Zhan, Xin Yu:
3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views. CoRR abs/2406.04875 (2024) - [i58]Hengzhu Liu, Ping Xiong, Tianqing Zhu, Philip S. Yu:
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks. CoRR abs/2406.06186 (2024) - [i57]Shang Wang, Tianqing Zhu, Bo Liu, Ming Ding, Xu Guo, Dayong Ye, Wanlei Zhou, Philip S. Yu:
Unique Security and Privacy Threats of Large Language Model: A Comprehensive Survey. CoRR abs/2406.07973 (2024) - [i56]Laiqiao Qin, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions. CoRR abs/2406.10861 (2024) - [i55]Linlin Wang, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives. CoRR abs/2406.10884 (2024) - [i54]Heng Xu, Tianqing Zhu, Wanlei Zhou, Wei Zhao:
Don't Forget Too Much: Towards Machine Unlearning on Feature Level. CoRR abs/2406.10951 (2024) - [i53]Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou:
Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs. CoRR abs/2406.10953 (2024) - [i52]Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Wei Zhao:
Towards Efficient Target-Level Machine Unlearning Based on Essential Graph. CoRR abs/2406.10954 (2024) - [i51]Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu:
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. CoRR abs/2406.12516 (2024) - [i50]Faqian Guan, Tianqing Zhu, Hui Sun, Wanlei Zhou, Philip S. Yu:
Large Language Models for Link Stealing Attacks Against Graph Neural Networks. CoRR abs/2406.16963 (2024) - [i49]Huajie Chen, Tianqing Zhu, Lefeng Zhang, Bo Liu, Derui Wang, Wanlei Zhou, Minhui Xue:
QUEEN: Query Unlearning against Model Extraction. CoRR abs/2407.01251 (2024) - [i48]Xiaobiao Du, Haiyang Sun, Ming Lu, Tianqing Zhu, Xin Yu:
DreamCar: Leveraging Car-specific Prior for in-the-wild 3D Car Reconstruction. CoRR abs/2407.16988 (2024) - [i47]Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, Philip S. Yu:
The Emerged Security and Privacy of LLM Agent: A Survey with Case Studies. CoRR abs/2407.19354 (2024) - [i46]Duoxun Tang, Yuxin Cao, Xi Xiao, Derui Wang, Sheng Wen, Tianqing Zhu:
Query-Efficient Video Adversarial Attack with Stylized Logo. CoRR abs/2408.12099 (2024) - [i45]Minfeng Qi, Qin Wang, Zhipeng Wang, Manvir Schneider, Tianqing Zhu, Shiping Chen, William Knottenbelt, Thomas Hardjono:
SoK: Bitcoin Layer Two (L2). CoRR abs/2409.02650 (2024) - [i44]Heng Xu, Tianqing Zhu, Wanlei Zhou:
Evaluating of Machine Unlearning: Robustness Verification Without Prior Modifications. CoRR abs/2410.10120 (2024) - [i43]Minfeng Qi, Qin Wang, Zhipeng Wang, Lin Zhong, Tianqing Zhu, Shiping Chen, William Knottenbelt:
BRC20 Pinning Attack. CoRR abs/2410.11295 (2024) - [i42]Shang Wang, Tianqing Zhu, Dayong Ye, Wanlei Zhou:
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge? CoRR abs/2410.15267 (2024) - [i41]Wenhan Chang, Tianqing Zhu, Yufeng Wu, Wanlei Zhou:
Zero-shot Class Unlearning via Layer-wise Relevance Analysis and Neuronal Path Perturbation. CoRR abs/2410.23693 (2024) - [i40]Hengzhu Liu, Tianqing Zhu, Lefeng Zhang, Ping Xiong:
Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage. CoRR abs/2411.03914 (2024) - [i39]Mengmeng Yang, Tianqing Zhu, Chi Liu, Wanlei Zhou, Shui Yu, Philip S. Yu:
New Emerged Security and Privacy of Pre-trained Model: a Survey and Outlook. CoRR abs/2411.07691 (2024) - [i38]Laiqiao Qin, Tianqing Zhu, Linlin Wang, Wanlei Zhou:
Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA. CoRR abs/2411.08443 (2024) - 2023
- [j116]Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou:
New challenges in reinforcement learning: a survey of security and privacy. Artif. Intell. Rev. 56(7): 7195-7236 (2023) - [j115]Zhiqiu Zhang, Tianqing Zhu, Wei Ren, Ping Xiong, Kim-Kwang Raymond Choo:
Preserving data privacy in federated learning through large gradient pruning. Comput. Secur. 125: 103039 (2023) - [j114]Jie Li, Tianqing Zhu, Wei Ren, Kim-Kwang Raymond Choo:
Improve individual fairness in federated learning via adversarial training. Comput. Secur. 132: 103336 (2023) - [j113]Wen Huang, Ming Zhuo, Tianqing Zhu, Shijie Zhou, Yongjian Liao:
Differential privacy: Review of improving utility through cryptography-based technologies. Concurr. Comput. Pract. Exp. 35(5) (2023) - [j112]Hanyu Xue, Bo Liu, Xin Yuan, Ming Ding, Tianqing Zhu:
Face image de-identification by feature space adversarial perturbation. Concurr. Comput. Pract. Exp. 35(5) (2023) - [j111]Mengmeng Yang, Kwok-Yan Lam, Tianqing Zhu, Chenghua Tang:
SPoFC: A framework for stream data aggregation with local differential privacy. Concurr. Comput. Pract. Exp. 35(5) (2023) - [j110]Chi Liu, Tianqing Zhu, Jun Zhang, Wanlei Zhou:
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks. ACM Comput. Surv. 55(8): 161:1-161:35 (2023) - [j109]Shuai Zhou, Chi Liu, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity. ACM Comput. Surv. 55(8): 163:1-163:39 (2023) - [j108]Yuexin Xiang, Tiantian Li, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo:
A lightweight privacy-preserving scheme using pixel block mixing for facial image classification in deep learning. Eng. Appl. Artif. Intell. 126(Part D): 107180 (2023) - [j107]Ding Bao, Wei Ren, Yuexin Xiang, Weimao Liu, Tianqing Zhu, Yi Ren, Kim-Kwang Raymond Choo:
BTC-Shadow: an analysis and visualization system for exposing implicit behaviors in Bitcoin transaction graphs. Frontiers Comput. Sci. 17(6): 176215 (2023) - [j106]Kai Wang, Jinxia Wu, Tianqing Zhu, Wei Ren, Ying Hong:
Defense against membership inference attack in graph neural networks through graph perturbation. Int. J. Inf. Sec. 22(2): 497-509 (2023) - [j105]Minghao Wang, Tianqing Zhu, Xuhan Zuo, Mengmeng Yang, Shui Yu, Wanlei Zhou:
Differentially Private Crowdsourcing With the Public and Private Blockchain. IEEE Internet Things J. 10(10): 8918-8930 (2023) - [j104]Tao Zhang, Tianqing Zhu, Mengde Han, Fengwen Chen, Jing Li, Wanlei Zhou, Philip S. Yu:
Fairness in graph-based semi-supervised learning. Knowl. Inf. Syst. 65(2): 543-570 (2023) - [j103]Xiaoya Wang, Tianqing Zhu, Wei Ren, Dongmei Zhang, Ping Xiong:
Migrating federated learning to centralized learning with the leverage of unlabeled data. Knowl. Inf. Syst. 65(9): 3725-3752 (2023) - [j102]Huan Tian, Bo Liu, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
CIFair: Constructing continuous domains of invariant features for image fair classifications. Knowl. Based Syst. 268: 110417 (2023) - [j101]Tao Zhang, Tianqing Zhu, Jing Li, Wanlei Zhou, Philip S. Yu:
Revisiting model fairness via adversarial examples. Knowl. Based Syst. 277: 110777 (2023) - [j100]Zishuo Cheng, Tianqing Zhu, Congcong Zhu, Dayong Ye, Wanlei Zhou, Philip S. Yu:
Privacy and evolutionary cooperation in neural-network-based game theory. Knowl. Based Syst. 282: 111076 (2023) - [j99]Tao Zhang, Dayong Ye, Tianqing Zhu, Tingting Liao, Wanlei Zhou:
Evolution of cooperation in malicious social networks with differential privacy mechanisms. Neural Comput. Appl. 35(18): 12979-12994 (2023) - [j98]Yizhi Liu, Xiaohan Hao, Wei Ren, Ruoting Xiong, Tianqing Zhu, Kim-Kwang Raymond Choo, Geyong Min:
A Blockchain-Based Decentralized, Fair and Authenticated Information Sharing Scheme in Zero Trust Internet-of-Things. IEEE Trans. Computers 72(2): 501-512 (2023) - [j97]Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
Label-Only Membership Inference Attacks and Defenses in Semantic Segmentation Models. IEEE Trans. Dependable Secur. Comput. 20(2): 1435-1449 (2023) - [j96]Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Tianqing Zhu, Jun Zhao:
Differentially Private Distributed Frequency Estimation. IEEE Trans. Dependable Secur. Comput. 20(5): 3910-3926 (2023) - [j95]Chi Liu, Huajie Chen, Tianqing Zhu, Jun Zhang, Wanlei Zhou:
Making DeepFakes More Spurious: Evading Deep Face Forgery Detection via Trace Removal Attack. IEEE Trans. Dependable Secur. Comput. 20(6): 5182-5196 (2023) - [j94]Tianqing Zhu, Dayong Ye, Shuai Zhou, Bo Liu, Wanlei Zhou:
Label-Only Model Inversion Attacks: Attack With the Least Information. IEEE Trans. Inf. Forensics Secur. 18: 991-1005 (2023) - [j93]Lefeng Zhang, Tianqing Zhu, Farookh Khadeer Hussain, Dayong Ye, Wanlei Zhou:
A Game-Theoretic Method for Defending Against Advanced Persistent Threats in Cyber Systems. IEEE Trans. Inf. Forensics Secur. 18: 1349-1364 (2023) - [j92]Lefeng Zhang, Tianqing Zhu, Haibin Zhang, Ping Xiong, Wanlei Zhou:
FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks. IEEE Trans. Inf. Forensics Secur. 18: 4732-4746 (2023) - [j91]Tingting Liao, Zhen Lei, Tianqing Zhu, Shan Zeng, Yaqin Li, Cao Yuan:
Deep Metric Learning for K Nearest Neighbor Classification. IEEE Trans. Knowl. Data Eng. 35(1): 264-275 (2023) - [j90]Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu:
A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy. IEEE Trans. Knowl. Data Eng. 35(4): 3333-3346 (2023) - [j89]Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin, Ping Xiong, Wanlei Zhou:
Adversarial Attacks Against Deep Generative Models on Data: A Survey. IEEE Trans. Knowl. Data Eng. 35(4): 3367-3388 (2023) - [j88]Xiangyu Hu, Tianqing Zhu, Xuemeng Zhai, Wanlei Zhou, Wei Zhao:
Privacy Data Propagation and Preservation in Social Media: A Real-World Case Study. IEEE Trans. Knowl. Data Eng. 35(4): 4137-4150 (2023) - [j87]Xiangyu Hu, Tianqing Zhu, Xuemeng Zhai, Hengming Wang, Wanlei Zhou, Wei Zhao:
Privacy Data Diffusion Modeling and Preserving in Online Social Network. IEEE Trans. Knowl. Data Eng. 35(6): 6224-6237 (2023) - [j86]Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu:
A Game-Theoretic Federated Learning Framework for Data Quality Improvement. IEEE Trans. Knowl. Data Eng. 35(11): 10952-10966 (2023) - [j85]Tao Zhang, Tianqing Zhu, Kun Gao, Wanlei Zhou, Philip S. Yu:
Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5557-5569 (2023) - [j84]Dayong Ye, Tianqing Zhu, Congcong Zhu, Wanlei Zhou, Philip S. Yu:
Model-Based Self-Advising for Multi-Agent Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7934-7945 (2023) - [j83]Xiaohan Hao, Wei Ren, Yangyang Fei, Tianqing Zhu, Kim-Kwang Raymond Choo:
A Blockchain-Based Cross-Domain and Autonomous Access Control Scheme for Internet of Things. IEEE Trans. Serv. Comput. 16(2): 773-786 (2023) - [j82]Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou, Philip S. Yu:
Learning Games for Defending Advanced Persistent Threats in Cyber Systems. IEEE Trans. Syst. Man Cybern. Syst. 53(4): 2410-2422 (2023) - [j81]Congcong Zhu, Zishuo Cheng, Dayong Ye, Farookh Khadeer Hussain, Tianqing Zhu, Wanlei Zhou:
Time-Driven and Privacy-Preserving Navigation Model for Vehicle-to-Vehicle Communication Systems. IEEE Trans. Veh. Technol. 72(7): 8459-8470 (2023) - [c41]Suleiman Abahussein, Tianqing Zhu, Dayong Ye, Zishuo Cheng, Wanlei Zhou:
Protect Trajectory Privacy in Food Delivery with Differential Privacy and Multi-agent Reinforcement Learning. AINA (3) 2023: 48-59 - [c40]Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. IJCAI 2023: 464-472 - [c39]Yuan Zhao, Bo Liu, Ming Ding, Baoping Liu, Tianqing Zhu, Xin Yu:
Proactive Deepfake Defence via Identity Watermarking. WACV 2023: 4591-4600 - [c38]Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu, Xin Yu:
TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection. WACV 2023: 4680-4689 - [i37]Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou:
New Challenges in Reinforcement Learning: A Survey of Security and Privacy. CoRR abs/2301.00188 (2023) - [i36]Huajie Chen, Tianqing Zhu, Chi Liu, Shui Yu, Wanlei Zhou:
High-frequency Matters: An Overwriting Attack and defense for Image-processing Neural Network Watermarking. CoRR abs/2302.08637 (2023) - [i35]Huajie Chen, Tianqing Zhu, Yuan Zhao, Bo Liu, Xin Yu, Wanlei Zhou:
Low-frequency Image Deep Steganography: Manipulate the Frequency Distribution to Hide Secrets with Tenacious Robustness. CoRR abs/2303.13713 (2023) - [i34]Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation. CoRR abs/2306.01364 (2023) - [i33]Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu:
Machine Unlearning: A Survey. CoRR abs/2306.03558 (2023) - [i32]Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou:
Boosting Model Inversion Attacks with Adversarial Examples. CoRR abs/2306.13965 (2023) - [i31]Huiqiang Chen, Tianqing Zhu, Tao Zhang, Wanlei Zhou, Philip S. Yu:
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off. CoRR abs/2306.14123 (2023) - [i30]Hui Sun, Tianqing Zhu, Wenhan Chang, Wanlei Zhou:
Generative Adversarial Networks Unlearning. CoRR abs/2308.09881 (2023) - [i29]Hu Zhang, Xin Shen, Heming Du, Huiqiang Chen, Chen Liu, Hongwei Sheng, Qingzheng Xu, Wahiduzzaman Khan, Qingtao Yu, Tianqing Zhu, Scott Chapman, Zi Huang, Xin Yu:
Divide and Ensemble: Progressively Learning for the Unknown. CoRR abs/2310.05425 (2023) - [i28]Huan Tian, Guangsheng Zhang, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
FD-MIA: Efficient Attacks on Fairness-enhanced Models. CoRR abs/2311.03865 (2023) - [i27]Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Jason Xue, Sheng Shen, Wanlei Zhou:
Reinforcement Unlearning. CoRR abs/2312.15910 (2023) - 2022
- [j80]Guangsheng Zhang, Bo Liu, Tianqing Zhu, Andi Zhou, Wanlei Zhou:
Visual privacy attacks and defenses in deep learning: a survey. Artif. Intell. Rev. 55(6): 4347-4401 (2022) - [j79]Chenguang Wang, Tianqing Zhu, Ping Xiong, Wei Ren, Kim-Kwang Raymond Choo:
A privacy preservation method for multiple-source unstructured data in online social networks. Comput. Secur. 113: 102574 (2022) - [j78]Huan Tian, Tianqing Zhu, Wanlei Zhou:
Fairness and privacy preservation for facial images: GAN-based methods. Comput. Secur. 122: 102902 (2022) - [j77]Xiuting Gu, Tianqing Zhu, Jie Li, Tao Zhang, Wei Ren, Kim-Kwang Raymond Choo:
Privacy, accuracy, and model fairness trade-offs in federated learning. Comput. Secur. 122: 102907 (2022) - [j76]Yuan Zhao, Bo Liu, Tianqing Zhu, Ming Ding, Wanlei Zhou:
Private-encoder: Enforcing privacy in latent space for human face images. Concurr. Comput. Pract. Exp. 34(3) (2022) - [j75]Ping Xiong, Lin Liang, Yunli Zhu, Tianqing Zhu:
PriTxt: A privacy risk assessment method for text data based on semantic correlation learning. Concurr. Comput. Pract. Exp. 34(5) (2022) - [j74]Sheng Shen, Tianqing Zhu, Dayong Ye, Minghao Wang, Xuhan Zuo, Andi Zhou:
A novel differentially private advising framework in cloud server environment. Concurr. Comput. Pract. Exp. 34(7) (2022) - [j73]Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou:
Correlated data in differential privacy: Definition and analysis. Concurr. Comput. Pract. Exp. 34(16) (2022) - [j72]Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou:
From distributed machine learning to federated learning: In the view of data privacy and security. Concurr. Comput. Pract. Exp. 34(16) (2022) - [j71]Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu:
More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design. ACM Comput. Surv. 54(7): 136:1-136:37 (2022) - [j70]Ximing Liu, Tianqing Zhu, Cuiqing Jiang, Dayong Ye, Fuqing Zhao:
Prioritized Experience Replay based on Multi-armed Bandit. Expert Syst. Appl. 189: 116023 (2022) - [j69]Zishuo Cheng, Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu, Congcong Zhu:
Multi-agent reinforcement learning via knowledge transfer with differentially private noise. Int. J. Intell. Syst. 37(1): 799-828 (2022) - [j68]Wen Huang, Shijie Zhou, Tianqing Zhu, Yongjian Liao:
Privately Publishing Internet of Things Data: Bring Personalized Sampling Into Differentially Private Mechanisms. IEEE Internet Things J. 9(1): 80-91 (2022) - [j67]Tianqing Zhu, Wei Zhou, Dayong Ye, Zishuo Cheng, Jin Li:
Resource Allocation in IoT Edge Computing via Concurrent Federated Reinforcement Learning. IEEE Internet Things J. 9(2): 1414-1426 (2022) - [j66]Xiang Yu, Dongmei Zhang, Tianqing Zhu, Xinwei Jiang:
Novel hybrid multi-head self-attention and multifractal algorithm for non-stationary time series prediction. Inf. Sci. 613: 541-555 (2022) - [j65]Ping Xiong, Guirong Li, Wei Ren, Tianqing Zhu:
LOPO: a location privacy preserving path optimization scheme for spatial crowdsourcing. J. Ambient Intell. Humaniz. Comput. 13(12): 5803-5818 (2022) - [j64]Mingze Ni, Ce Wang, Tianqing Zhu, Shui Yu, Wei Liu:
Attacking neural machine translations via hybrid attention learning. Mach. Learn. 111(11): 3977-4002 (2022) - [j63]Huan Tian, Tianqing Zhu, Wei Liu, Wanlei Zhou:
Image fairness in deep learning: problems, models, and challenges. Neural Comput. Appl. 34(15): 12875-12893 (2022) - [j62]Huiying Zou, Xiaofan Liu, Wei Ren, Tianqing Zhu:
A Decentralized Electronic Reporting Scheme with Privacy Protection Based on Proxy Signature and Blockchain. Secur. Commun. Networks 2022: 5424395:1-5424395:8 (2022) - [j61]Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu:
Differential Advising in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 52(6): 5508-5521 (2022) - [j60]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu:
Differentially Private Multi-Agent Planning for Logistic-Like Problems. IEEE Trans. Dependable Secur. Comput. 19(2): 1212-1226 (2022) - [j59]Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou:
One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17: 1466-1480 (2022) - [j58]Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu:
Fairness in Semi-Supervised Learning: Unlabeled Data Help to Reduce Discrimination. IEEE Trans. Knowl. Data Eng. 34(4): 1763-1774 (2022) - [j57]Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu:
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence. IEEE Trans. Knowl. Data Eng. 34(6): 2824-2843 (2022) - [j56]Tianqing Zhu, Jin Li, Xiangyu Hu, Ping Xiong, Wanlei Zhou:
The Dynamic Privacy-Preserving Mechanisms for Online Dynamic Social Networks. IEEE Trans. Knowl. Data Eng. 34(6): 2962-2974 (2022) - [j55]Congcong Zhu, Dayong Ye, Tianqing Zhu, Wanlei Zhou:
Time-optimal and privacy preserving route planning for carpool policy. World Wide Web 25(3): 1151-1168 (2022) - [c37]Suleiman Abahussein, Zishuo Cheng, Tianqing Zhu, Dayong Ye, Wanlei Zhou:
Privacy-Preserving in Double Deep-Q-Network with Differential Privacy in Continuous Spaces. AI 2022: 15-26 - [i26]Dayong Ye, Tianqing Zhu, Shuai Zhou, Bo Liu, Wanlei Zhou:
Label-only Model Inversion Attack: The Attack that Requires the Least Information. CoRR abs/2203.06555 (2022) - [i25]Dayong Ye, Huiqiang Chen, Shuai Zhou, Tianqing Zhu, Wanlei Zhou, Shouling Ji:
Model Inversion Attack against Transfer Learning: Inverting a Model without Accessing It. CoRR abs/2203.06570 (2022) - [i24]Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou:
One Parameter Defense - Defending against Data Inference Attacks via Differential Privacy. CoRR abs/2203.06580 (2022) - [i23]Chi Liu, Huajie Chen, Tianqing Zhu, Jun Zhang, Wanlei Zhou:
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack. CoRR abs/2203.11433 (2022) - [i22]Yuexin Xiang, Yuchen Lei, Ding Bao, Wei Ren, Tiantian Li, Qingqing Yang, Wenmao Liu, Tianqing Zhu, Kim-Kwang Raymond Choo:
BABD: A Bitcoin Address Behavior Dataset for Address Behavior Pattern Analysis. CoRR abs/2204.05746 (2022) - [i21]Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou:
How Does a Deep Learning Model Architecture Impact Its Privacy? CoRR abs/2210.11049 (2022) - 2021
- [j54]Xin Chen, Tao Zhang, Sheng Shen, Tianqing Zhu, Ping Xiong:
An optimized differential privacy scheme with reinforcement learning in VANET. Comput. Secur. 110: 102446 (2021) - [j53]Yang Xia, Tianqing Zhu, Xiaofeng Ding, Hai Jin, Deqing Zou:
Heterogeneous differential privacy for vertically partitioned databases. Concurr. Comput. Pract. Exp. 33(8) (2021) - [j52]Xiaohan Hao, Wei Ren, Ruoting Xiong, Tianqing Zhu, Kim-Kwang Raymond Choo:
Asymmetric cryptographic functions based on generative adversarial neural networks for Internet of Things. Future Gener. Comput. Syst. 124: 243-253 (2021) - [j51]Zhenfei Chen, Tianqing Zhu, Ping Xiong, Chenguang Wang, Wei Ren:
Privacy preservation for image data: A GAN-based method. Int. J. Intell. Syst. 36(4): 1668-1685 (2021) - [j50]Tiantian Li, Wei Ren, Yuexin Xiang, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo, Gautam Srivastava:
FAPS: A fair, autonomous and privacy-preserving scheme for big data exchange based on oblivious transfer, Ether cheque and smart contracts. Inf. Sci. 544: 469-484 (2021) - [j49]Yuexin Xiang, Wei Ren, Tiantian Li, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo:
A multi-type and decentralized data transaction scheme based on smart contracts and digital watermarks. J. Netw. Comput. Appl. 176: 102953 (2021) - [j48]Ruiyang Xiao, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo:
A Mixing Scheme Using a Decentralized Signature Protocol for Privacy Protection in Bitcoin Blockchain. IEEE Trans. Dependable Secur. Comput. 18(4): 1793-1803 (2021) - [j47]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. IEEE Trans. Inf. Forensics Secur. 16: 569-584 (2021) - [j46]Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu, Tianqing Zhu, Wanlei Zhou:
Game Theoretical Adversarial Deep Learning With Variational Adversaries. IEEE Trans. Knowl. Data Eng. 33(11): 3568-3581 (2021) - [j45]Zhibo Wang, Jing Zhao, Jiahui Hu, Tianqing Zhu, Qian Wang, Ju Ren, Chao Li:
Towards Personalized Task-Oriented Worker Recruitment in Mobile Crowdsensing. IEEE Trans. Mob. Comput. 20(5): 2080-2093 (2021) - [c36]Zhenfei Chen, Tianqing Zhu, Bing Tian, Yu Wang, Wei Ren:
A Semantic-based Replacement for Event Image Privacy. CSE 2021: 130-137 - [c35]Weihui Qiu, Xin Yang, Ming Wei, Wei Ren, Tianqing Zhu:
A Blockchain-based Fast Authentication and Collaborative Video Data Forwarding Scheme for Vehicular Networks. EUC 2021: 56-63 - [c34]Ping Xiong, Lin Liang, Yunli Zhu, Tianqing Zhu:
Privacy Risk Assessment for Text Data Based on Semantic Correlation Learning. WASA (3) 2021: 200-208 - [c33]Cheng Xu, Wei Ren, Daxi Tu, Linchen Yu, Tianqing Zhu, Yi Ren:
CDVT: A Cluster-Based Distributed Video Transcoding Scheme for Mobile Stream Services. WASA (1) 2021: 608-628 - [i20]Bo Liu, Ming Ding, Hanyu Xue, Tianqing Zhu, Dayong Ye, Li Song, Wanlei Zhou:
DP-Image: Differential Privacy for Image Data in Feature Space. CoRR abs/2103.07073 (2021) - [i19]Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam, Tianqing Zhu, Jun Zhao:
Fair and Differentially Private Distributed Frequency Estimation. CoRR abs/2104.05974 (2021) - [i18]Yuexin Xiang, Tiantian Li, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo:
A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning. CoRR abs/2105.08876 (2021) - [i17]Xinghao Yang, Weifeng Liu, James Bailey, Tianqing Zhu, Dacheng Tao, Wei Liu:
Semantic-Preserving Adversarial Text Attacks. CoRR abs/2108.10015 (2021) - [i16]Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin, Ping Xiong, Wanlei Zhou:
Adversarial Attacks Against Deep Generative Models on Data: A Survey. CoRR abs/2112.00247 (2021) - 2020
- [j44]Jianghua Liu, Jingyu Hou, Xinyi Huang, Yang Xiang, Tianqing Zhu:
Secure and efficient sharing of authenticated energy usage data with privacy preservation. Comput. Secur. 92: 101756 (2020) - [j43]Minghao Wang, Tianqing Zhu, Tao Zhang, Jun Zhang, Shui Yu, Wanlei Zhou:
Security and privacy in 6G networks: New areas and new challenges. Digit. Commun. Networks 6(3): 281-291 (2020) - [j42]Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu:
Differentially private model publishing in cyber physical systems. Future Gener. Comput. Syst. 108: 1297-1306 (2020) - [j41]Ping Xiong, Lefeng Zhang, Tianqing Zhu, Gang Li, Wanlei Zhou:
Private collaborative filtering under untrusted recommender server. Future Gener. Comput. Syst. 109: 511-520 (2020) - [j40]Sen He, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo:
BoSMoS: A Blockchain-Based Status Monitoring System for Defending Against Unauthorized Software Updating in Industrial Internet of Things. IEEE Internet Things J. 7(2): 948-959 (2020) - [j39]Cheng Xu, Wei Ren, Linchen Yu, Tianqing Zhu, Kim-Kwang Raymond Choo:
A Hierarchical Encryption and Key Management Scheme for Layered Access Control on H.264/SVC Bitstream in the Internet of Things. IEEE Internet Things J. 7(9): 8932-8942 (2020) - [j38]Wei Ren, Jingjing Hu, Tianqing Zhu, Yi Ren, Kim-Kwang Raymond Choo:
A flexible method to defend against computationally resourceful miners in blockchain proof of work. Inf. Sci. 507: 161-171 (2020) - [j37]Dayong Ye, Tianqing Zhu, Wanlei Zhou, Philip S. Yu:
Differentially Private Malicious Agent Avoidance in Multiagent Advising Learning. IEEE Trans. Cybern. 50(10): 4214-4227 (2020) - [j36]Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou:
Correlated Differential Privacy: Feature Selection in Machine Learning. IEEE Trans. Ind. Informatics 16(3): 2115-2124 (2020) - [c32]Yanxin Zhang, Guanping Xiao, Zheng Zheng, Tianqing Zhu, Ivor W. Tsang, Yulei Sui:
An Empirical Study of Code Deobfuscations on Detecting Obfuscated Android Piggybacked Apps. APSEC 2020: 41-50 - [c31]Hanyu Xue, Bo Liu, Ming Ding, Li Song, Tianqing Zhu:
Hiding Private Information in Images From AI. ICC 2020: 1-6 - [c30]Haocong Li, Yunjia Cheng, Wei Ren, Tianqing Zhu:
A Fast Robustness Quantification Method for Evaluating Typical Deep Learning Models by Generally Image Processing. ISPA/BDCloud/SocialCom/SustainCom 2020: 110-117 - [c29]Zhenfei Chen, Tianqing Zhu, Chenguang Wang, Wei Ren, Ping Xiong:
GAN-Based Image Privacy Preservation: Balancing Privacy and Utility. ML4CS (1) 2020: 287-296 - [c28]Yuao Wang, Tianqing Zhu, Wenhan Chang, Sheng Shen, Wei Ren:
Model Poisoning Defense on Federated Learning: A Validation Based Approach. NSS 2020: 207-223 - [c27]Jingye Tang, Tianqing Zhu, Ping Xiong, Yu Wang, Wei Ren:
Privacy and Utility Trade-Off for Textual Analysis via Calibrated Multivariate Perturbations. NSS 2020: 342-353 - [c26]Xiuting Gu, Tianqing Zhu, Jie Li, Tao Zhang, Wei Ren:
The Impact of Differential Privacy on Model Fairness in Federated Learning. NSS 2020: 419-430 - [c25]Wen Huang, Shijie Zhou, Tianqing Zhu, Yongjian Liao, Chunjiang Wu, Shilin Qiu:
Improving Laplace Mechanism of Differential Privacy by Personalized Sampling. TrustCom 2020: 623-630 - [c24]Xiaohan Hao, Wei Ren, Wenwen Zheng, Tianqing Zhu:
SCScan: A SVM-based Scanning System for Vulnerabilities in Blockchain Smart Contracts. TrustCom 2020: 1598-1605 - [p2]Minghao Wang, Xuhan Zuo, Tianqing Zhu:
Blockchain in 5G and 6G networks. Blockchains for Network Security 2020: 137-173 - [i15]Tao Zhang, Tianqing Zhu, Renping Liu, Wanlei Zhou:
Correlated Data in Differential Privacy: Definition and Analysis. CoRR abs/2008.00180 (2020) - [i14]Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu:
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence. CoRR abs/2008.01916 (2020) - [i13]Mengmeng Yang, Lingjuan Lyu, Jun Zhao, Tianqing Zhu, Kwok-Yan Lam:
Local Differential Privacy and Its Applications: A Comprehensive Survey. CoRR abs/2008.03686 (2020) - [i12]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. CoRR abs/2008.05629 (2020) - [i11]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu:
Differentially Private Multi-Agent Planning for Logistic-like Problems. CoRR abs/2008.06832 (2020) - [i10]Chi Liu, Tianqing Zhu, Jun Zhang, Wanlei Zhou:
Privacy Intelligence: A Survey on Image Sharing on Online Social Networks. CoRR abs/2008.12199 (2020) - [i9]Yuexin Xiang, Wei Ren, Tiantian Li, Xianghan Zheng, Tianqing Zhu, Kim-Kwang Raymond Choo:
Efficiently Constructing Adversarial Examples by Feature Watermarking. CoRR abs/2009.05107 (2020) - [i8]Tao Zhang, Tianqing Zhu, Mengde Han, Jing Li, Wanlei Zhou, Philip S. Yu:
Fairness Constraints in Semi-supervised Learning. CoRR abs/2009.06190 (2020) - [i7]Tao Zhang, Tianqing Zhu, Jing Li, Mengde Han, Wanlei Zhou, Philip S. Yu:
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination. CoRR abs/2009.12040 (2020) - [i6]Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou:
Correlated Differential Privacy: Feature Selection in Machine Learning. CoRR abs/2010.03094 (2020) - [i5]Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou:
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security. CoRR abs/2010.09258 (2020) - [i4]Wen Huang, Shijie Zhou, Tianqing Zhu, Yongjian Liao:
the Connection between Cryptography and Differential Privacy: a Survey. CoRR abs/2011.00976 (2020) - [i3]Dayong Ye, Tianqing Zhu, Zishuo Cheng, Wanlei Zhou, Philip S. Yu:
Differential Advising in Multi-Agent Reinforcement Learning. CoRR abs/2011.03640 (2020)
2010 – 2019
- 2019
- [j35]Shixiong Yao, Jing Chen, Kun He, Ruiying Du, Tianqing Zhu, Xin Chen:
PBCert: Privacy-Preserving Blockchain-Based Certificate Status Validation Toward Mass Storage Management. IEEE Access 7: 6117-6128 (2019) - [j34]Nan Lu, Tianqing Zhu, Fangqun Ouyang, Yan Xia, Qingfen Li, Zirui Jia, Jiwen Hu, Juanjuan Ling, Wenjun Ma, Guijuan Yang, Hanguo Zhang, Lisheng Kong, Junhui Wang:
PICEAdatabase: a web database for Picea omics and phenotypic information. Database J. Biol. Databases Curation 2019: baz089 (2019) - [j33]Ping Xiong, Danyang Zhu, Lefeng Zhang, Wei Ren, Tianqing Zhu:
Optimizing rewards allocation for privacy-preserving spatial crowdsourcing. Comput. Commun. 146: 85-94 (2019) - [j32]Bo Liu, Ming Ding, Tianqing Zhu, Yong Xiang, Wanlei Zhou:
Adversaries or allies? Privacy and deep learning in big data era. Concurr. Comput. Pract. Exp. 31(19) (2019) - [j31]Lefeng Zhang, Ping Xiong, Wei Ren, Tianqing Zhu:
A differentially private method for crowdsourcing data submission. Concurr. Comput. Pract. Exp. 31(19) (2019) - [j30]Mengmeng Yang, Tianqing Zhu, Kaitai Liang, Wanlei Zhou, Robert H. Deng:
A blockchain-based location privacy-preserving crowdsensing system. Future Gener. Comput. Syst. 94: 408-418 (2019) - [j29]Yaocheng Zhang, Wei Ren, Tianqing Zhu, Yi Ren:
SaaS: A situational awareness and analysis system for massive android malware detection. Future Gener. Comput. Syst. 95: 548-559 (2019) - [j28]Rongyue Zheng, Jianlin Jiang, Xiaohan Hao, Wei Ren, Feng Xiong, Tianqing Zhu:
CaACBIM: A Context-aware Access Control Model for BIM. Inf. 10(2): 47 (2019) - [j27]Yaocheng Zhang, Wei Ren, Tianqing Zhu, Ehoche Faith:
MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data. Symmetry 11(1): 115 (2019) - [j26]Cai Fu, Xiao-Yang Liu, Jia Yang, Laurence T. Yang, Shui Yu, Tianqing Zhu:
Wormhole: The Hidden Virus Propagation Power of the Search Engine in Social Networks. IEEE Trans. Dependable Secur. Comput. 16(4): 693-710 (2019) - [c23]Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang:
Detecting Suicidal Ideation with Data Protection in Online Communities. DASFAA (3) 2019: 225-229 - [c22]Bo Liu, Tianqing Zhu, Wanlei Zhou, Kun Wang, Haibo Zhou, Ming Ding:
Protecting Privacy-Sensitive Locations in Trajectories with Correlated Positions. GLOBECOM 2019: 1-6 - [c21]Sheng Shen, Tianqing Zhu, Dayong Ye, Mengmeng Yang, Tingting Liao, Wanlei Zhou:
Simultaneously Advising via Differential Privacy in Cloud Servers Environment. ICA3PP (1) 2019: 550-563 - [c20]Junfang Wu, Weizhong Qiang, Tianqing Zhu, Hai Jin, Peng Xu, Sheng Shen:
Differential Privacy Preservation for Smart Meter Systems. ICA3PP (1) 2019: 669-685 - [c19]Tianqing Zhu, Philip S. Yu:
Applying Differential Privacy Mechanism in Artificial Intelligence. ICDCS 2019: 1601-1609 - [p1]Mengmeng Yang, Tianqing Zhu:
Privacy preserving in big data. Security and Privacy for Big Data, Cloud Computing and Applications 2019: 1-25 - [i2]Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang, Xue Li:
Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care. CoRR abs/1905.07665 (2019) - 2018
- [b2]Bo Liu, Wanlei Zhou, Tianqing Zhu, Yong Xiang, Kun Wang:
Location Privacy in Mobile Applications. Springer 2018, ISBN 978-981-13-1704-0, pp. 1-101 - [j25]Mengmeng Yang, Tianqing Zhu, Yang Xiang, Wanlei Zhou:
Density-Based Location Preservation for Mobile Crowdsensing With Differential Privacy. IEEE Access 6: 14779-14789 (2018) - [j24]Mengmeng Yang, Tianqing Zhu, Bo Liu, Yang Xiang, Wanlei Zhou:
Machine Learning Differential Privacy With Multifunctional Aggregation in a Fog Computing Architecture. IEEE Access 6: 17119-17129 (2018) - [j23]Bo Liu, Wanlei Zhou, Tianqing Zhu, Longxiang Gao, Yong Xiang:
Location Privacy and Its Applications: A Systematic Study. IEEE Access 6: 17606-17624 (2018) - [j22]Mengmeng Yang, Tianqing Zhu, Bo Liu, Yang Xiang, Wanlei Zhou:
Differential Private POI Queries via Johnson-Lindenstrauss Transform. IEEE Access 6: 29685-29699 (2018) - [j21]Sheng Zhong, Wei Ren, Tianqing Zhu, Yi Ren, Kim-Kwang Raymond Choo:
Performance and Security Evaluations of Identity- and Pairing-Based Digital Signature Algorithms on Windows, Android, and Linux Platforms: Revisiting the Algorithms of Cha and Cheon, Hess, Barreto, Libert, Mccullagh and Quisquater, and Paterson and Schuldt. IEEE Access 6: 37850-37857 (2018) - [j20]Simin Li, Wei Ren, Tianqing Zhu, Kim-Kwang Raymond Choo:
Lico: A Lightweight Access Control Model for Inter-Networking Linkages. IEEE Access 6: 51748-51755 (2018) - [j19]Bo Zhang, Tianqing Zhu, Chengyu Hu, Chuan Zhao:
Cryptanalysis of a Lightweight Certificateless Signature Scheme for IIOT Environments. IEEE Access 6: 73885-73894 (2018) - [j18]Tianqing Zhu, Mengmeng Yang, Ping Xiong, Yang Xiang, Wanlei Zhou:
An iteration-based differentially private social network data release. Comput. Syst. Sci. Eng. 33(2) (2018) - [j17]Yangfan Li, Wei Ren, Tianqing Zhu, Yi Ren, Yue Qin, Wei Jie:
RIMS: A Real-time and Intelligent Monitoring System for live-broadcasting platforms. Future Gener. Comput. Syst. 87: 259-266 (2018) - [j16]Tianqing Zhu, Gang Li, Ping Xiong, Wanlei Zhou:
Answering differentially private queries for continual datasets release. Future Gener. Comput. Syst. 87: 816-827 (2018) - [j15]Jinyi Guo, Wei Ren, Yi Ren, Tianqing Zhu:
A Watermark-Based In-Situ Access Control Model for Image Big Data. Future Internet 10(8): 69 (2018) - [c18]Bo Liu, Ming Ding, Tianqing Zhu, Yong Xiang, Wanlei Zhou:
Using Adversarial Noises to Protect Privacy in Deep Learning Era. GLOBECOM 2018: 1-6 - [c17]Yaocheng Zhang, Wei Ren, Tianqing Zhu, Wei Bi:
MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data. ICA3PP (2) 2018: 582-595 - [c16]Lefeng Zhang, Ping Xiong, Tianqing Zhu:
A Differentially Private Method for Crowdsourcing Data Submission. PAKDD (Workshops) 2018: 142-148 - 2017
- [b1]Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu:
Differential Privacy and Applications. Advances in Information Security 69, Springer 2017, ISBN 978-3-319-62002-2, pp. 1-222 - [j14]Ping Xiong, Lefeng Zhang, Tianqing Zhu:
Reward-based spatial crowdsourcing with differential privacy preservation. Enterp. Inf. Syst. 11(10): 1500-1517 (2017) - [j13]Min Li, Cai Fu, Xiao-Yang Liu, Jia Yang, Tianqing Zhu, Lansheng Han:
Evolutionary virus immune strategy for temporal networks based on community vitality. Future Gener. Comput. Syst. 74: 276-290 (2017) - [j12]Nicholas Charles Patterson, Michael Hobbs, Tianqing Zhu:
A cyber-threat analytic model for autonomous detection of virtual property theft. Inf. Comput. Secur. 25(4): 358-381 (2017) - [j11]Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu:
Differentially Private Data Publishing and Analysis: A Survey. IEEE Trans. Knowl. Data Eng. 29(8): 1619-1638 (2017) - [j10]Bo Liu, Wanlei Zhou, Tianqing Zhu, Haibo Zhou, Xiaodong Lin:
Invisible Hand: A Privacy Preserving Mobile Crowd Sensing Framework Based on Economic Models. IEEE Trans. Veh. Technol. 66(5): 4410-4423 (2017) - [c15]Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu:
Differentially private query learning: From data publishing to model publishing. IEEE BigData 2017: 1117-1122 - [c14]Mengmeng Yang, Tianqing Zhu, Yang Xiang, Wanlei Zhou:
Personalized Privacy Preserving Collaborative Filtering. GPC 2017: 371-385 - [c13]Weizhong Qiang, Gongping Xu, Guozhong Sun, Tianqing Zhu, Hai Jin:
CloudController: A Writable and Heterogeneous-Adaptive Virtual Machine Introspection for Cloud Management. TrustCom/BigDataSE/ICESS 2017: 177-184 - [c12]Mengmeng Yang, Tianqing Zhu, Lichuan Ma, Yang Xiang, Wanlei Zhou:
Privacy Preserving Collaborative Filtering via the Johnson-Lindenstrauss Transform. TrustCom/BigDataSE/ICESS 2017: 417-424 - [i1]Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, Philip S. Yu:
Differentially Private Query Learning: from Data Publishing to Model Publishing. CoRR abs/1710.05095 (2017) - 2016
- [j9]Ping Xiong, Lefeng Zhang, Tianqing Zhu:
Semantic analysis in location privacy preserving. Concurr. Comput. Pract. Exp. 28(6): 1884-1899 (2016) - [j8]Tianqing Zhu, Gang Li, Wanlei Zhou, Ping Xiong, Cao Yuan:
Privacy-preserving topic model for tagging recommender systems. Knowl. Inf. Syst. 46(1): 33-58 (2016) - [j7]Ping Xiong, Tianqing Zhu, Wenjia Niu, Gang Li:
A differentially private algorithm for location data release. Knowl. Inf. Syst. 47(3): 647-669 (2016) - [j6]Daibin Wang, Hai Jin, Deqing Zou, Peng Xu, Tianqing Zhu, Gang Chen:
Taming transitive permission attack via bytecode rewriting on Android application. Secur. Commun. Networks 9(13): 2100-2114 (2016) - [j5]Bo Liu, Wanlei Zhou, Tianqing Zhu, Longxiang Gao, Tom H. Luan, Haibo Zhou:
Silence is Golden: Enhancing Privacy of Location-Based Services by Content Broadcasting and Active Caching in Wireless Vehicular Networks. IEEE Trans. Veh. Technol. 65(12): 9942-9953 (2016) - [c11]Xianghong Tian, Jie Kong, Tianqing Zhu, Haiyang Xia:
Discovering Learning Patterns of Male and Female Students by Contrast Targeted Rule Mining. ES 2016: 196-202 - 2015
- [j4]Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou:
Correlated Differential Privacy: Hiding Information in Non-IID Data Set. IEEE Trans. Inf. Forensics Secur. 10(2): 229-242 (2015) - [j3]Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong:
Privacy preserving data release for tagging recommender systems. Web Intell. 13(4): 229-246 (2015) - 2014
- [j2]Tianqing Zhu, Yongli Ren, Wanlei Zhou, Jia Rong, Ping Xiong:
An effective privacy preserving algorithm for neighborhood-based collaborative filtering. Future Gener. Comput. Syst. 36: 142-155 (2014) - [j1]Tianqing Zhu, Gang Li, Lei Pan, Yongli Ren, Wanlei Zhou:
Privacy preserving collaborative filtering for KNN attack resisting. Soc. Netw. Anal. Min. 4(1): 196 (2014) - [c10]Tianqing Zhu, Gang Li, Wanlei Zhou, Ping Xiong, Cao Yuan:
Deferentially Private Tagging Recommendation Based on Topic Model. PAKDD (1) 2014: 557-568 - [c9]Ping Xiong, Tianqing Zhu, Lei Pan, Wenjia Niu, Gang Li:
Privacy Preserving in Location Data Release: A Differential Privacy Approach. PRICAI 2014: 183-195 - 2013
- [c8]Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong:
Differential privacy for neighborhood-based collaborative filtering. ASONAM 2013: 752-759 - [c7]Benke Qu, Wenjia Niu, Tianqing Zhu, Lei Wu, Shijun Liu, Na Wang:
Dynamic User Behavior-Based Piracy Propagation Monitoring in Wireless Peer-to-Peer Networks. BSI@PAKDD/BSIC@IJCAI 2013: 44-55 - [c6]Yongli Ren, Tianqing Zhu, Gang Li, Wanlei Zhou:
Top-N Recommendations by Learning User Preference Dynamics. PAKDD (2) 2013: 390-401 - [c5]Tianqing Zhu, Ping Xiong, Yang Xiang, Wanlei Zhou:
An Effective Deferentially Private Data Releasing Algorithm for Decision Tree. TrustCom/ISPA/IUCC 2013: 388-395 - [c4]Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong:
Privacy Preserving for Tagging Recommender Systems. Web Intelligence 2013: 81-88 - 2012
- [c3]Longxiang Gao, Ming Li, Tianqing Zhu, Alessio Bonti, Wanlei Zhou, Shui Yu:
AMDD: Exploring Entropy Based Anonymous Multi-dimensional Data Detection for Network Optimization in Human Associated DTNs. TrustCom 2012: 1245-1250
2000 – 2009
- 2006
- [c2]Tianqing Zhu:
Suspicious Financial Transaction Detection Based on Empirical Mode Decomposition Method. APSCC 2006: 300-304 - [c1]Tianqing Zhu:
An Outlier Detection Model Based on Cross Datasets Comparison for Financial Surveillance. APSCC 2006: 601-604
Coauthor Index
[j138] [j135] [j134] [j133] [j132] [j131] [j127] [j125] [j123] [j122] [j120] [j118] [j117] [i60] [i57] [i47] [i42] [j116] [j109] [j100] [j99] [j94] [j93] [j84] [j82] [j81] [c41] [i37] [i32] [i27] [j74] [j70] [j69] [j67] [j61] [j60] [j59] [j57] [j55] [c37] [i26] [i25] [i24] [j47] [i20] [j37] [i14] [i12] [i11] [i3] [c21]
[j148] [j147] [j145] [j143] [j142] [j141] [j138] [j137] [j134] [j133] [j132] [j131] [j130] [j129] [j127] [j126] [j125] [j124] [j123] [j122] [j121] [j120] [j119] [j118] [j117] [c45] [c44] [c42] [i63] [i62] [i61] [i60] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i47] [i44] [i42] [i41] [i39] [i38] [j116] [j110] [j109] [j105] [j104] [j102] [j101] [j100] [j99] [j97] [j95] [j94] [j93] [j92] [j90] [j89] [j88] [j87] [j86] [j85] [j84] [j82] [j81] [c41] [c40] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i28] [i27] [j80] [j78] [j76] [j73] [j72] [j71] [j69] [j63] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [c37] [i26] [i25] [i24] [i23] [i21] [j47] [j46] [i20] [i16] [j43] [j42] [j41] [j37] [j36] [i15] [i14] [i12] [i11] [i10] [i8] [i7] [i6] [i5] [i3] [j32] [j30] [c22] [c21] [b2] [j25] [j24] [j23] [j22] [j18] [j16] [c18] [b1] [j11] [j10] [c15] [c14] [c12] [i1] [j8] [j5] [j4] [j3] [j2] [j1] [c10] [c8] [c6] [c5] [c4] [c3]
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