Understanding the Stability-based Generalization of Personalized Federated Learning - Yingqi Liu; Qinglun Li; Jie Tang; Yifan Shi; Li Shen; Xiaochun Cao (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

AdaptBIR: Adaptive Blind Image Restoration with latent diffusion prior for higher fidelity - Yingqi Liu; Jingwen He; Yihao Liu; Xinqi Lin; Fanghua Yu; Jinfan Hu; Yu Qiao; Chao Dong (Pattern Recognit., 2024)

Multi-Attack Intrusion Detection for In-Vehicle CAN-FD Messages - Fei Gao; Jinshuo Liu; Yingqi Liu; Zhenhai Gao; Rui Zhao (Sensors, 2024)

Exploring Inherent Backdoors in Deep Learning Models - Guanhong Tao; Siyuan Cheng; Zhenting Wang; Shiqing Ma; Shengwei An; Yingqi Liu; Guangyu Shen; Zhuo Zhang; Yunshu Mao; Xiangyu Zhang (Annual Computer Security Applications Conference, ACSAC 2024, Honolulu, HI, USA, December 9-13, 2024, 2024)

Decentralized Directed Collaboration for Personalized Federated Learning - Yingqi Liu; Yifan Shi; Baoyuan Wu; Qinglun Li; Xueqian Wang; Li Shen (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Lotus: Evasive and Resilient Backdoor Attacks through Sub-Partitioning - Siyuan Cheng; Guanhong Tao; Yingqi Liu; Guangyu Shen; Shengwei An; Shiwei Feng; Xiangzhe Xu; Kaiyuan Zhang; Shiqing Ma; Xiangyu Zhang (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning - Siyuan Cheng; Guanhong Tao; Yingqi Liu; Guangyu Shen; Shengwei An; Shiwei Feng; Xiangzhe Xu; Kaiyuan Zhang; Shiqing Ma; Xiangyu Zhang (CoRR, 2024)

Decentralized Directed Collaboration for Personalized Federated Learning - Yingqi Liu; Yifan Shi; Qinglun Li; Baoyuan Wu; Xueqian Wang; Li Shen (CoRR, 2024)

Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration - Qinglun Li; Miao Zhang; Yingqi Liu; Quanjun Yin; Li Shen; Xiaochun Cao (CoRR, 2024)

TIPS: Threat Actor Informed Prioritization of Applications using SecEncoder - Muhammed Fatih Bulut; Acar Tamersoy; Naveed Ahmad; Yingqi Liu; Lloyd G. Greenwald (CoRR, 2024)

SecEncoder: Logs are All You Need in Security - Muhammed Fatih Bulut; Yingqi Liu; Naveed Ahmad; Maximilian Turner; Sami Ait Ouahmane; Cameron Andrews; Lloyd G. Greenwald (CoRR, 2024)

Detecting Backdoors in Pre-trained Encoders - Shiwei Feng; Guanhong Tao; Siyuan Cheng; Guangyu Shen; Xiangzhe Xu; Yingqi Liu; Kaiyuan Zhang; Shiqing Ma; Xiangyu Zhang (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

MEDIC: Remove Model Backdoors via Importance Driven Cloning - Qiuling Xu; Guanhong Tao; Jean Honorio; Yingqi Liu; Shengwei An; Guangyu Shen; Siyuan Cheng; Xiangyu Zhang (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Make Landscape Flatter in Differentially Private Federated Learning - Yifan Shi; Yingqi Liu; Kang Wei; Li Shen; Xueqian Wang; Dacheng Tao (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning - Kaiyuan Zhang; Guanhong Tao; Qiuling Xu; Siyuan Cheng; Shengwei An; Yingqi Liu; Shiwei Feng; Guangyu Shen; Pin-Yu Chen; Shiqing Ma; Xiangyu Zhang (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense - Siyuan Cheng; Guanhong Tao; Yingqi Liu; Shengwei An; Xiangzhe Xu; Shiwei Feng; Guangyu Shen; Kaiyuan Zhang; Qiuling Xu; Shiqing Ma; Xiangyu Zhang (30th Annual Network and Distributed System Security Symposium, NDSS 2023, San Diego, California, USA, February 27 - March 3, 2023, 2023)

Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration - Guangyu Shen; Siyuan Cheng; Guanhong Tao; Kaiyuan Zhang; Yingqi Liu; Shengwei An; Shiqing Ma; Xiangyu Zhang (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes - Shengwei An; Yuan Yao; Qiuling Xu; Shiqing Ma; Guanhong Tao; Siyuan Cheng; Kaiyuan Zhang; Yingqi Liu; Guangyu Shen; Ian Kelk; Xiangyu Zhang (44th IEEE Symposium on Security and Privacy, SP 2023, San Francisco, CA, USA, May 21-25, 2023, 2023)

PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis - Zhuo Zhang; Guanhong Tao; Guangyu Shen; Shengwei An; Qiuling Xu; Yingqi Liu; Yapeng Ye; Yaoxuan Wu; Xiangyu Zhang (32nd USENIX Security Symposium, USENIX Security 2023, Anaheim, CA, USA, August 9-11, 2023, 2023)

BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense - Siyuan Cheng; Guanhong Tao; Yingqi Liu; Shengwei An; Xiangzhe Xu; Shiwei Feng; Guangyu Shen; Kaiyuan Zhang; Qiuling Xu; Shiqing Ma; Xiangyu Zhang (CoRR, 2023)

Make Landscape Flatter in Differentially Private Federated Learning - Yifan Shi; Yingqi Liu; Kang Wei; Li Shen; Xueqian Wang; Dacheng Tao (CoRR, 2023)

Detecting Backdoors in Pre-trained Encoders - Shiwei Feng; Guanhong Tao; Siyuan Cheng; Guangyu Shen; Xiangzhe Xu; Yingqi Liu; Kaiyuan Zhang; Shiqing Ma; Xiangyu Zhang (CoRR, 2023)

Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy - Yifan Shi; Kang Wei; Li Shen; Yingqi Liu; Xueqian Wang; Bo Yuan; Dacheng Tao (CoRR, 2023)

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training - Yifan Shi; Yingqi Liu; Yan Sun; Zihao Lin; Li Shen; Xueqian Wang; Dacheng Tao (CoRR, 2023)

Infrared-Visible Image Fusion Based on Semantic Guidance and Visual Perception - Xiaoyu Chen; Zhijie Teng; Yingqi Liu; Jun Lu; Lianfa Bai; Jing Han (Entropy, 2022)

Max-Margin Deep Diverse Latent Dirichlet Allocation With Continual Learning - Wenchao Chen; Bo Chen; Yingqi Liu; Xuefei Cao; Qianru Zhao; Hao Zhang; Long Tian (IEEE Trans. Cybern., 2022)

Blueprint Separable Residual Network for Efficient Image Super-Resolution - Zheyuan Li; Yingqi Liu; Xiangyu Chen; Haoming Cai; Jinjin Gu; Yu Qiao; Chao Dong (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022, 2022)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results - Yawei Li; Kai Zhang; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022, 2022)

Better Trigger Inversion Optimization in Backdoor Scanning - Guanhong Tao; Guangyu Shen; Yingqi Liu; Shengwei An; Qiuling Xu; Shiqing Ma; Pan Li; Xiangyu Zhang (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Complex Backdoor Detection by Symmetric Feature Differencing - Yingqi Liu; Guangyu Shen; Guanhong Tao; Zhenting Wang; Shiqing Ma; Xiangyu Zhang (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Efficient Image Super-Resolution Using Vast-Receptive-Field Attention - Lin Zhou; Haoming Cai; Jinjin Gu; Zheyuan Li; Yingqi Liu; Xiangyu Chen; Yu Qiao; Chao Dong (Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part II, 2022)

Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense - Guangyu Shen; Yingqi Liu; Guanhong Tao; Qiuling Xu; Zhuo Zhang; Shengwei An; Shiqing Ma; Xiangyu Zhang (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps - Kun Qiu; Harry Chang; Ying Wang; Xiahui Yu; Wenjun Zhu; Yingqi Liu; Jianwei Ma; Weigang Li; Xiaobo Liu; Shuo Dai (Thirteenth International Conference on Ubiquitous and Future Networks, ICUFN 2022, Barcelona, Spain, July 5-8, 2022, 2022)

MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity - Guanhong Tao; Qiuling Xu; Yingqi Liu; Guangyu Shen; Shengwei An; Jingwei Xu; Xiangyu Zhang; Yuan Yao (29th Annual Network and Distributed System Security Symposium, NDSS 2022, San Diego, California, USA, April 24-28, 2022, 2022)

Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security - Guanhong Tao; Yingqi Liu; Guangyu Shen; Qiuling Xu; Shengwei An; Zhuo Zhang; Xiangyu Zhang (43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 2022)

Piccolo: Exposing Complex Backdoors in NLP Transformer Models - Yingqi Liu; Guangyu Shen; Guanhong Tao; Shengwei An; Shiqing Ma; Xiangyu Zhang (43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022, 2022)

Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense - Guangyu Shen; Yingqi Liu; Guanhong Tao; Qiuling Xu; Zhuo Zhang; Shengwei An; Shiqing Ma; Xiangyu Zhang (CoRR, 2022)

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results - Yawei Li; Kai Zhang; Radu Timofte; Luc Van Gool; Fangyuan Kong; Mingxi Li; Songwei Liu; Zongcai Du; Ding Liu; Chenhui Zhou; Jingyi Chen; Qingrui Han; et al. (CoRR, 2022)

Blueprint Separable Residual Network for Efficient Image Super-Resolution - Zheyuan Li; Yingqi Liu; Xiangyu Chen; Haoming Cai; Jinjin Gu; Yu Qiao; Chao Dong (CoRR, 2022)

DECK: Model Hardening for Defending Pervasive Backdoors - Guanhong Tao; Yingqi Liu; Siyuan Cheng; Shengwei An; Zhuo Zhang; Qiuling Xu; Guangyu Shen; Xiangyu Zhang (CoRR, 2022)

Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps - Kun Qiu; Harry Chang; Ying Wang; Xiahui Yu; Wenjun Zhu; Yingqi Liu; Jianwei Ma; Weigang Li; Xiaobo Liu; Shuo Dai (CoRR, 2022)

Efficient Image Super-Resolution using Vast-Receptive-Field Attention - Lin Zhou; Haoming Cai; Jinjin Gu; Zheyuan Li; Yingqi Liu; Xiangyu Chen; Yu Qiao; Chao Dong (CoRR, 2022)

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning - Kaiyuan Zhang; Guanhong Tao; Qiuling Xu; Siyuan Cheng; Shengwei An; Yingqi Liu; Shiwei Feng; Guangyu Shen; Pin-Yu Chen; Shiqing Ma; Xiangyu Zhang (CoRR, 2022)

Backdoor Vulnerabilities in Normally Trained Deep Learning Models - Guanhong Tao; Zhenting Wang; Siyuan Cheng; Shiqing Ma; Shengwei An; Yingqi Liu; Guangyu Shen; Zhuo Zhang; Yunshu Mao; Xiangyu Zhang (CoRR, 2022)

Turning Danger into Safety: The Origin, Research Context and Theoretical Framework of Organizational Resilience - Ruijun Chen; Yingqi Liu; Fei Zhou (IEEE Access, 2021)

Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification - Siyuan Cheng; Yingqi Liu; Shiqing Ma; Xiangyu Zhang (Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, 2021)

Backdoor Scanning for Deep Neural Networks through K-Arm Optimization - Guangyu Shen; Yingqi Liu; Guanhong Tao; Shengwei An; Qiuling Xu; Siyuan Cheng; Shiqing Ma; Xiangyu Zhang (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

Backdoor Scanning for Deep Neural Networks through K-Arm Optimization - Guangyu Shen; Yingqi Liu; Guanhong Tao; Shengwei An; Qiuling Xu; Siyuan Cheng; Shiqing Ma; Xiangyu Zhang (CoRR, 2021)

EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry - Yingqi Liu; Guangyu Shen; Guanhong Tao; Zhenting Wang; Shiqing Ma; Xiangyu Zhang (CoRR, 2021)

Recognizing the HRRP by Combining CNN and BiRNN With Attention Mechanism - Jinwei Wan; Bo Chen; Yingqi Liu; Yijun Yuan; Hongwei Liu; Lin Jin (IEEE Access, 2020)

Black-box adversarial sample generation based on differential evolution - Junyu Lin; Lei Xu; Yingqi Liu; Xiangyu Zhang (J. Syst. Softw., 2020)

Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features - Junyu Lin; Lei Xu; Yingqi Liu; Xiangyu Zhang (CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, USA, November 9-13, 2020, 2020)

TRADER: trace divergence analysis and embedding regulation for debugging recurrent neural networks - Guanhong Tao; Shiqing Ma; Yingqi Liu; Qiuling Xu; Xiangyu Zhang (ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June - 19 July, 2020, 2020)

Black-box Adversarial Sample Generation Based on Differential Evolution - Junyu Lin; Lei Xu; Yingqi Liu; Xiangyu Zhang (CoRR, 2020)

Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification - Siyuan Cheng; Yingqi Liu; Shiqing Ma; Xiangyu Zhang (CoRR, 2020)

ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation - Yingqi Liu; Wen-Chuan Lee; Guanhong Tao; Shiqing Ma; Yousra Aafer; Xiangyu Zhang (Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, CCS 2019, London, UK, November 11-15, 2019, 2019)

White-Box Program Tuning - Wen-Chuan Lee; Yingqi Liu; Peng Liu; Shiqing Ma; Hongjun Choi; Xiangyu Zhang; Rajiv Gupta (IEEE/ACM International Symposium on Code Generation and Optimization, CGO 2019, Washington, DC, USA, February 16-20, 2019, 2019)

Research on Comprehensive Evaluation System of Property Service Enterprises - Fei Zhou; Yingqi Liu; Rui Xi (Proceedings of the 10th International Conference on E-business, Management and Economics, ICEME 2019, Beijing, China, July 15-17, 2019, 2019)

NIC: Detecting Adversarial Samples with Neural Network Invariant Checking - Shiqing Ma; Yingqi Liu; Guanhong Tao; Wen-Chuan Lee; Xiangyu Zhang (26th Annual Network and Distributed System Security Symposium, NDSS 2019, San Diego, California, USA, February 24-27, 2019, 2019)

Programming support for autonomizing software - Wen-Chuan Lee; Peng Liu; Yingqi Liu; Shiqing Ma; Xiangyu Zhang (Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2019, Phoenix, AZ, USA, June 22-26, 2019, 2019)

Remaining useful life estimation of engineered systems using vanilla LSTM neural networks - Yuting Wu; Mei Yuan; Shaopeng Dong; Li Lin; Yingqi Liu (Neurocomputing, 2018)

Trojaning Attack on Neural Networks - Yingqi Liu; Shiqing Ma; Yousra Aafer; Wen-Chuan Lee; Juan Zhai; Weihang Wang; Xiangyu Zhang (25th Annual Network and Distributed System Security Symposium, NDSS 2018, San Diego, California, USA, February 18-21, 2018, 2018)

Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples - Guanhong Tao; Shiqing Ma; Yingqi Liu; Xiangyu Zhang (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

MODE: automated neural network model debugging via state differential analysis and input selection - Shiqing Ma; Yingqi Liu; Wen-Chuan Lee; Xiangyu Zhang; Ananth Grama (Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/SIGSOFT FSE 2018, Lake Buena Vista, FL, USA, November 04-09, 2018, 2018)

Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples - Guanhong Tao; Shiqing Ma; Yingqi Liu; Xiangyu Zhang (CoRR, 2018)

PAD: programming third-party web advertisement censorship - Weihang Wang; Yonghwi Kwon; Yunhui Zheng; Yousra Aafer; I Luk Kim; Wen-Chuan Lee; Yingqi Liu; Weijie Meng; Xiangyu Zhang; Patrick Eugster (Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, ASE 2017, Urbana, IL, USA, October 30 - November 03, 2017, 2017)

LAMP: data provenance for graph based machine learning algorithms through derivative computation - Shiqing Ma; Yousra Aafer; Zhaogui Xu; Wen-Chuan Lee; Juan Zhai; Yingqi Liu; Xiangyu Zhang (Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, ESEC/FSE 2017, Paderborn, Germany, September 4-8, 2017, 2017)

Impact of agricultural industrial structure adjustment on energy conservation and income growth in Western China: a statistical study - Huifeng Pan; Yingqi Liu; Hongwei Gao (Ann. Oper. Res., 2015)

A Detection and Measurement Approach for Memory Leaked Objects in Java Programs - Qiao Yu; Shujuan Jiang; Yingqi Liu (IEICE Trans. Inf. Syst., 2015)

Mitigating the Dependence Confounding Effect for Effective Predicate-Based Statistical Fault Localization - Xingya Wang; Shujuan Jiang; Xiaolin Ju; Heling Cao; Yingqi Liu (39th IEEE Annual Computer Software and Applications Conference, COMPSAC 2015, Taichung, Taiwan, July 1-5, 2015. Volume 2, 2015)

An approach for test data generation using program slicing and particle swarm optimization - Shujuan Jiang; Dandan Yi; Xiaolin Ju; Lingsai Wang; Yingqi Liu (Neural Comput. Appl., 2014)

An Approach for Fault Localization Based on Program Slicing and Bayesian - Yingqi Liu; Wei Li; Shujuan Jiang; Yanmei Zhang; Xiaolin Ju (2013 13th International Conference on Quality Software, Najing, China, July 29-30, 2013, 2013)

Fault Localization for Null Pointer Exception Based on Stack Trace and Program Slicing - Shujuan Jiang; Wei Li; Haiyang Li; Yanmei Zhang; Hongchang Zhang; Yingqi Liu (2012 12th International Conference on Quality Software, Xi'an, Shaanxi, China, August 27-29, 2012, 2012)

The Analysis of China New Energy Vehicle Industry Alliance Status Based on UCINET Software - Xiongfei Guo; Yingqi Liu (J. Comput., 2011)