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2020 – today
- 2024
[j19]Meiyan Liang
, Xing Jiang, Jie Cao, Shupeng Zhang, Haishun Liu, Bo Li, Lin Wang, Cunlin Zhang, Xiaojun Jia:
HSG-MGAF Net: Heterogeneous subgraph-guided multiscale graph attention fusion network for interpretable prediction of whole-slide image. Comput. Methods Programs Biomed. 247: 108099 (2024)- [j18]Xiaofeng Mao, Yufeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li:
Context-Aware Robust Fine-Tuning. Int. J. Comput. Vis. 132(5): 1685-1700 (2024) - [j17]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Improving Fast Adversarial Training With Prior-Guided Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6367-6383 (2024) - [j16]Xiaojun Jia, Jianshu Li, Jindong Gu, Yang Bai, Xiaochun Cao:
Fast Propagation Is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks. IEEE Trans. Inf. Forensics Secur. 19: 4547-4559 (2024) - [j15]Yuan Xun, Xiaojun Jia, Jindong Gu, Xinwei Liu, Qing Guo, Xiaochun Cao:
Minimalism is King! High-Frequency Energy-Based Screening for Data-Efficient Backdoor Attacks. IEEE Trans. Inf. Forensics Secur. 19: 4560-4571 (2024) - [j14]Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Yang Liu, Xiaochun Cao:
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. IEEE Trans. Inf. Forensics Secur. 19: 8125-8139 (2024) - [j13]Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu:
Texture Re-Scalable Universal Adversarial Perturbation. IEEE Trans. Inf. Forensics Secur. 19: 8291-8305 (2024) - [j12]Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr:
A Survey on Transferability of Adversarial Examples Across Deep Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [c19]Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024: 19893-19901 - [c18]Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiaochun Cao:
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds. CVPR 2024: 24326-24335 - [c17]Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor W. Tsang, Qing Guo:
Boosting Transferability in Vision-Language Attacks via Diversification Along the Intersection Region of Adversarial Trajectory. ECCV (57) 2024: 442-460 - [c16]Haodi Wang, Xiaojun Jia, Xiaochun Cao:
EAT-Face: Emotion-Controllable Audio-Driven Talking Face Generation via Diffusion Model. FG 2024: 1-10 - [c15]Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao:
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection. ICLR 2024 - [c14]Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning. ACM Multimedia 2024: 8024-8033 - [i36]Xinwei Liu, Xiaojun Jia, Jindong Gu, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Does Few-shot Learning Suffer from Backdoor Attacks? CoRR abs/2401.01377 (2024) - [i35]Dingcheng Yang, Yang Bai, Xiaojun Jia, Yang Liu, Xiaochun Cao, Wenjian Yu:
Cheating Suffix: Targeted Attack to Text-To-Image Diffusion Models with Multi-Modal Priors. CoRR abs/2402.01369 (2024) - [i34]Yihao Huang, Kaiyuan Yu, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Tianlin Li, Geguang Pu, Yang Liu:
Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective. CoRR abs/2402.02738 (2024) - [i33]Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang, Xiaochun Cao:
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection. CoRR abs/2402.11473 (2024) - [i32]Tianrui Lou, Xiaojun Jia, Jindong Gu, Li Liu, Siyuan Liang, Bangyan He, Xiaochun Cao:
Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds. CoRR abs/2403.05247 (2024) - [i31]Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor W. Tsang, Qing Guo:
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory. CoRR abs/2403.12445 (2024) - [i30]Qi Guo, Shanmin Pang, Xiaojun Jia, Qing Guo:
Efficiently Adversarial Examples Generation for Visual-Language Models under Targeted Transfer Scenarios using Diffusion Models. CoRR abs/2404.10335 (2024) - [i29]Yihao Huang, Chong Wang, Xiaojun Jia, Qing Guo, Felix Juefei-Xu, Jian Zhang, Geguang Pu, Yang Liu:
Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs. CoRR abs/2405.14189 (2024) - [i28]Songze Li, Ruoxi Cheng, Xiaojun Jia:
Identity Inference from CLIP Models using Only Textual Data. CoRR abs/2405.14517 (2024) - [i27]Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Xiaojun Jia, Run Wang, Geguang Pu, Yang Liu:
Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake. CoRR abs/2405.18071 (2024) - [i26]Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin:
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models. CoRR abs/2405.21018 (2024) - [i25]Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Xiaojun Jia, Xiaochun Cao, Geguang Pu, Yang Liu:
Texture Re-scalable Universal Adversarial Perturbation. CoRR abs/2406.06089 (2024) - [i24]Xinwei Liu, Xiaojun Jia, Yuan Xun, Siyuan Liang, Xiaochun Cao:
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning. CoRR abs/2407.16307 (2024) - [i23]Yihao Huang, Le Liang, Tianlin Li, Xiaojun Jia, Run Wang, Weikai Miao, Geguang Pu, Yang Liu:
Perception-guided Jailbreak against Text-to-Image Models. CoRR abs/2408.10848 (2024) - [i22]Sensen Gao, Xiaojun Jia, Yihao Huang, Ranjie Duan, Jindong Gu, Yang Liu, Qing Guo:
RT-Attack: Jailbreaking Text-to-Image Models via Random Token. CoRR abs/2408.13896 (2024) - 2023
- [j11]Meiyan Liang, Ru Wang, Jianan Liang, Lin Wang, Bo Li, Xiaojun Jia, Yu Zhang, Qinghui Chen, Tianyi Zhang, Cunlin Zhang:
Interpretable Inference and Classification of Tissue Types in Histological Colorectal Cancer Slides Based on Ensembles Adaptive Boosting Prototype Tree. IEEE J. Biomed. Health Informatics 27(12): 6006-6017 (2023) - [c13]Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, Xiaochun Cao:
Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization. AAAI 2023: 764-772 - [c12]Jianbo Chen, Xinwei Liu, Siyuan Liang, Xiaojun Jia, Yuan Xun:
Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection. CVPR Workshops 2023: 2322-2329 - [c11]Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue:
Inequality phenomenon in l∞-adversarial training, and its unrealized threats. ICLR 2023 - [c10]Gege Qi, Yuefeng Chen, Xiaofeng Mao, Xiaojun Jia, Ranjie Duan, Rong Zhang, Hui Xue:
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training. INTERSPEECH 2023: 561-565 - [c9]Yulu Wang, Pengwen Dai, Xiaojun Jia, Zhitao Zeng, Rui Li, Xiaochun Cao:
Hi-SIGIR: Hierachical Semantic-Guided Image-to-image Retrieval via Scene Graph. ACM Multimedia 2023: 6400-6409 - [i21]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Improving Fast Adversarial Training with Prior-Guided Knowledge. CoRR abs/2304.00202 (2023) - [i20]Gege Qi, Yuefeng Chen, Xiaofeng Mao, Xiaojun Jia, Ranjie Duan, Rong Zhang, Hui Xue:
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training. CoRR abs/2307.12498 (2023) - [i19]Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Xiaochun Cao:
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging. CoRR abs/2308.11443 (2023) - [i18]Xiaojun Jia, Jianshu Li, Jindong Gu, Yang Bai, Xiaochun Cao:
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks. CoRR abs/2310.15444 (2023) - [i17]Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip H. S. Torr:
A Survey on Transferability of Adversarial Examples across Deep Neural Networks. CoRR abs/2310.17626 (2023) - [i16]Xiaojun Jia, Jindong Gu, Yihao Huang, Simeng Qin, Qing Guo, Yang Liu, Xiaochun Cao:
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation. CoRR abs/2312.02207 (2023) - [i15]Dongchen Han, Xiaojun Jia, Yang Bai, Jindong Gu, Yang Liu, Xiaochun Cao:
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization. CoRR abs/2312.04403 (2023) - [i14]Bangyan He, Xiaojun Jia, Siyuan Liang, Tianrui Lou, Yang Liu, Xiaochun Cao:
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation. CoRR abs/2312.04913 (2023) - [i13]Xiaoyu Zhang, Cen Zhang, Tianlin Li, Yihao Huang, Xiaojun Jia, Xiaofei Xie, Yang Liu, Chao Shen:
A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection. CoRR abs/2312.10766 (2023) - 2022
- [j10]Xiaojun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiaochun Cao:
Boosting Fast Adversarial Training With Learnable Adversarial Initialization. IEEE Trans. Image Process. 31: 4417-4430 (2022) - [c8]Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
Defending against Model Stealing via Verifying Embedded External Features. AAAI 2022: 1464-1472 - [c7]Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
LAS-AT: Adversarial Training with Learnable Attack Strategy. CVPR 2022: 13388-13398 - [c6]Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao:
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal. ECCV (14) 2022: 1-17 - [c5]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Prior-Guided Adversarial Initialization for Fast Adversarial Training. ECCV (4) 2022: 567-584 - [c4]Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao:
A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection. ECCV (4) 2022: 619-636 - [i12]Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
LAS-AT: Adversarial Training with Learnable Attack Strategy. CoRR abs/2203.06616 (2022) - [i11]Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao:
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal. CoRR abs/2207.08178 (2022) - [i10]Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao:
Prior-Guided Adversarial Initialization for Fast Adversarial Training. CoRR abs/2207.08859 (2022) - [i9]Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
MOVE: Effective and Harmless Ownership Verification via Embedded External Features. CoRR abs/2208.02820 (2022) - [i8]Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao:
A Large-scale Multiple-objective Method for Black-box Attack against Object Detection. CoRR abs/2209.07790 (2022) - [i7]Xiaofeng Mao, Yuefeng Chen, Xiaojun Jia, Rong Zhang, Hui Xue, Zhao Li:
Context-Aware Robust Fine-Tuning. CoRR abs/2211.16175 (2022) - 2021
- [j9]Xiaojun Jia, Zihao Liu:
One-Shot M-Array Pattern Based on Coded Structured Light for Three-Dimensional Object Reconstruction. J. Control. Sci. Eng. 2021: 6676704:1-6676704:16 (2021) - [j8]Menggang Li, Wenrui Li, Fang Wang, Xiaojun Jia, Guangwei Rui:
Applying BERT to analyze investor sentiment in stock market. Neural Comput. Appl. 33(10): 4663-4676 (2021) - [j7]Menggang Li, Fang Wang, Xiaojun Jia, Wenrui Li, Ting Li, Guangwei Rui:
Multi-source data fusion for economic data analysis. Neural Comput. Appl. 33(10): 4729-4739 (2021) - [j6]Hui Ren, Xiaochen Shen, Xiaojun Jia:
A novel dual-biological-community swarm intelligence algorithm with a commensal evolution strategy for multimodal problems. J. Supercomput. 77(10): 10850-10895 (2021) - [i6]Xiaojun Jia, Huanqian Yan, Yonglin Wu, Xingxing Wei, Xiaochun Cao, Yong Zhang:
An Effective and Robust Detector for Logo Detection. CoRR abs/2108.00422 (2021) - [i5]Xiaojun Jia, Yong Zhang, Baoyuan Wu, Jue Wang, Xiaochun Cao:
Boosting Fast Adversarial Training with Learnable Adversarial Initialization. CoRR abs/2110.05007 (2021) - [i4]Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
Defending against Model Stealing via Verifying Embedded External Features. CoRR abs/2112.03476 (2021) - 2020
- [j5]Yi Liang, Daiyong Quan, Fang Wang, Xiaojun Jia, Menggang Li, Ting Li:
Financial Big Data Analysis and Early Warning Platform: A Case Study. IEEE Access 8: 36515-36526 (2020) - [j4]Xiaolong Su, Meihong Wang, Zhihui Yan, Xiaojun Jia, Changde Xie, Kunchi Peng:
Quantum network based on non-classical light. Sci. China Inf. Sci. 63(8): 1-12 (2020) - [c3]Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Xiaoguang Han:
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples. ACM Multimedia 2020: 1579-1587 - [i3]Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Xiaoguang Han:
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples. CoRR abs/2008.01919 (2020)
2010 – 2019
- 2019
- [j3]Zihao Liu, Xiaojun Jia, Xinsheng Xu:
Study of shrimp recognition methods using smart networks. Comput. Electron. Agric. 165 (2019) - [c2]Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh:
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples. CVPR 2019: 6084-6092 - [i2]Xiaojun Jia, Xingxing Wei, Xiaochun Cao:
Identifying and Resisting Adversarial Videos Using Temporal Consistency. CoRR abs/1909.04837 (2019) - 2018
- [i1]Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh:
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples. CoRR abs/1811.12673 (2018) - 2015
- [j2]Wangyun Liu, Xiaojun Jia:
Quantum limits for cascaded nondegenerate optical parametric oscillators. Quantum Inf. Process. 14(8): 2945-2957 (2015)
2000 – 2009
- 2009
- [j1]Xiaojun Jia, Guangxue Yue, Fang Mei:
The Mathematical Model and Applications of Coded Structured Light System for Object Detecting. J. Comput. 4(1): 53-60 (2009) - 2005
- [c1]Qingcang Yu, Xiaojun Jia, Jian Tao, Yun Zhao:
An Encoded Mini-grid Structured Light Pattern for Dynamic Scenes. ICIC (1) 2005: 126-135
Coauthor Index
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