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2020 – today
- 2024
[j6]Jinlai Zhang, Yinpeng Dong, Jun Zhu, Jihong Zhu, Minchi Kuang, Xiaming Yuan:
Improving transferability of 3D adversarial attacks with scale and shear transformations. Inf. Sci. 662: 120245 (2024)- [c54]Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen:
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CVPR 2024: 24442-24451 - [c53]Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Yang, Hang Su, Xingxing Wei:
Towards Transferable Targeted 3D Adversarial Attack in the Physical World. CVPR 2024: 24512-24522 - [c52]Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu:
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models. CVPR 2024: 26552-26562 - [c51]Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu:
Rethinking Model Ensemble in Transfer-based Adversarial Attacks. ICLR 2024 - [c50]Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu:
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. ICLR 2024 - [c49]Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu:
Robust Classification via a Single Diffusion Model. ICML 2024 - [c48]Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu:
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior. ICML 2024 - [c47]Zhuo Huang, Chang Liu, Yinpeng Dong, Hang Su, Shibao Zheng, Tongliang Liu:
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning. ICML 2024 - [c46]Yifan Zhu, Yibo Miao, Yinpeng Dong, Xiao-Shan Gao:
Toward Availability Attacks in 3D Point Clouds. ICML 2024 - [c45]Xiaopei Zhu, Peiyang Xu, Guanning Zeng, Yinpeng Dong, Xiaolin Hu:
Natural Language Induced Adversarial Images. ACM Multimedia 2024: 10872-10881 - [c44]Tong Liu, Yingjie Zhang, Zhe Zhao, Yinpeng Dong, Guozhu Meng, Kai Chen:
Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction. USENIX Security Symposium 2024 - [i81]Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu:
Your Diffusion Model is Secretly a Certifiably Robust Classifier. CoRR abs/2402.02316 (2024) - [i80]Shengfang Zhai, Weilong Wang, Jiajun Li, Yinpeng Dong, Hang Su, Qingni Shen:
Discovering Universal Semantic Triggers for Text-to-Image Synthesis. CoRR abs/2402.07562 (2024) - [i79]Yu Tian, Xiao Yang, Yinpeng Dong, Heming Yang, Hang Su, Jun Zhu:
BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators. CoRR abs/2402.15218 (2024) - [i78]Tong Liu, Yingjie Zhang, Zhe Zhao, Yinpeng Dong, Guozhu Meng, Kai Chen:
Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction. CoRR abs/2402.18104 (2024) - [i77]Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu:
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. CoRR abs/2404.00540 (2024) - [i76]Jiawei Chen, Xiao Yang, Yinpeng Dong, Hang Su, Jianteng Peng, Zhaoxia Yin:
FaceCat: Enhancing Face Recognition Security with a Unified Generative Model Framework. CoRR abs/2404.09193 (2024) - [i75]Yichi Zhang, Yinpeng Dong, Siyuan Zhang
, Tianzan Min, Hang Su, Jun Zhu:
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models. CoRR abs/2404.11207 (2024) - [i74]Shouwei Ruan, Yinpeng Dong, Hanqing Liu, Yao Huang, Hang Su, Xingxing Wei:
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models. CoRR abs/2404.12139 (2024) - [i73]Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingwei Wang, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu:
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. CoRR abs/2405.08816 (2024) - [i72]Shengfang Zhai, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu:
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy. CoRR abs/2405.14800 (2024) - [i71]Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu:
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior. CoRR abs/2405.19098 (2024) - [i70]Jiawei Chen, Xiao Yang, Zhengwei Fang, Yu Tian, Yinpeng Dong, Zhaoxia Yin, Hang Su:
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization. CoRR abs/2405.19668 (2024) - [i69]Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu:
Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study. CoRR abs/2406.07057 (2024) - [i68]Yibo Miao, Yifan Zhu, Yinpeng Dong, Lijia Yu, Jun Zhu, Xiao-Shan Gao:
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models. CoRR abs/2407.05965 (2024) - [i67]Yifan Zhu, Yibo Miao, Yinpeng Dong, Xiao-Shan Gao:
Toward Availability Attacks in 3D Point Clouds. CoRR abs/2407.11011 (2024) - [i66]Xingxing Wei, Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Yubo Chen, Hang Su:
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model. CoRR abs/2409.09406 (2024) - 2023
- [j5]Zhijie Deng, Yinpeng Dong, Jun Zhu:
Batch virtual adversarial training for graph convolutional networks. AI Open 4: 73-79 (2023) - [j4]Jinlai Zhang, Yinpeng Dong, Minchi Kuang, Binbin Liu, Bo Ouyang, Jihong Zhu, Houqing Wang, Yanmei Meng:
The Art of Defense: Letting Networks Fool the Attacker. IEEE Trans. Inf. Forensics Secur. 18: 3267-3276 (2023) - [c43]Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu:
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving. CVPR 2023: 1022-1032 - [c42]Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu:
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition. CVPR 2023: 4119-4128 - [c41]Zijian Zhu, Yichi Zhang, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, Jiachen Zhong, Shibao Zheng:
Understanding the Robustness of 3D Object Detection with Bird'View Representations in Autonomous Driving. CVPR 2023: 21600-21610 - [c40]Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao:
Compacting Binary Neural Networks by Sparse Kernel Selection. CVPR 2023: 24374-24383 - [c39]Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei:
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. ICCV 2023: 4686-4696 - [c38]Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang:
Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos. ICCV 2023: 13844-13854 - [c37]Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu:
GNOT: A General Neural Operator Transformer for Operator Learning. ICML 2023: 12556-12569 - [c36]Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su:
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning. ACM Multimedia 2023: 1577-1587 - [c35]Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu:
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction. NeurIPS 2023 - [i65]Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng:
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking. CoRR abs/2302.14301 (2023) - [i64]Zhongkai Hao, Chengyang Ying, Zhengyi Wang, Hang Su, Yinpeng Dong, Songming Liu, Ze Cheng, Jun Zhu, Jian Song:
GNOT: A General Neural Operator Transformer for Operator Learning. CoRR abs/2302.14376 (2023) - [i63]Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu:
Rethinking Model Ensemble in Transfer-based Adversarial Attacks. CoRR abs/2303.09105 (2023) - [i62]Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu:
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving. CoRR abs/2303.11040 (2023) - [i61]Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao:
Compacting Binary Neural Networks by Sparse Kernel Selection. CoRR abs/2303.14470 (2023) - [i60]Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu:
Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition. CoRR abs/2303.15818 (2023) - [i59]Zijian Zhu, Yichi Zhang, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, Jiachen Zhong, Shibao Zheng:
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving. CoRR abs/2303.17297 (2023) - [i58]Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu:
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction. CoRR abs/2304.10127 (2023) - [i57]Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su:
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning. CoRR abs/2305.04175 (2023) - [i56]Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu:
Robust Classification via a Single Diffusion Model. CoRR abs/2305.15241 (2023) - [i55]Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Hang Su, Xingxing Wei:
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks in the Physical World. CoRR abs/2306.09124 (2023) - [i54]Hongcheng Gao, Hao Zhang, Yinpeng Dong, Zhijie Deng:
Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks. CoRR abs/2306.13103 (2023) - [i53]Xingxing Wei, Shouwei Ruan, Yinpeng Dong, Hang Su:
Distributional Modeling for Location-Aware Adversarial Patches. CoRR abs/2306.16131 (2023) - [i52]Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei:
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. CoRR abs/2307.10235 (2023) - [i51]Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei:
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training. CoRR abs/2307.11528 (2023) - [i50]Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang:
Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos. CoRR abs/2308.10089 (2023) - [i49]Youze Wang, Wenbo Hu, Yinpeng Dong, Richang Hong:
Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning. CoRR abs/2308.12636 (2023) - [i48]Haixu Song, Shiyu Huang, Yinpeng Dong, Wei-Wei Tu:
Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models. CoRR abs/2309.02218 (2023) - [i47]Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu:
How Robust is Google's Bard to Adversarial Image Attacks? CoRR abs/2309.11751 (2023) - [i46]Yu Tian, Xiao Yang, Jingyuan Zhang, Yinpeng Dong, Hang Su:
Evil Geniuses: Delving into the Safety of LLM-based Agents. CoRR abs/2311.11855 (2023) - [i45]Zhuo Huang, Chang Liu, Yinpeng Dong, Hang Su, Shibao Zheng, Tongliang Liu:
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning. CoRR abs/2312.02546 (2023) - [i44]Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen:
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CoRR abs/2312.07067 (2023) - [i43]Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Yang, Hang Su, Xingxing Wei:
Towards Transferable Targeted 3D Adversarial Attack in the Physical World. CoRR abs/2312.09558 (2023) - 2022
- [j3]Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu:
Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9536-9548 (2022) - [j2]Xiao Yang, Shilong Liu, Yinpeng Dong, Hang Su, Lei Zhang, Jun Zhu:
Towards generalizable detection of face forgery via self-guided model-agnostic learning. Pattern Recognit. Lett. 160: 98-104 (2022) - [c34]Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu:
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart. CVPR 2022: 15202-15212 - [c33]Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou:
BadDet: Backdoor Attacks on Object Detection. ECCV Workshops (1) 2022: 396-412 - [c32]Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. ECCV (4) 2022: 725-742 - [c31]Xiaoyi Chen, Yinpeng Dong, Zeyu Sun, Shengfang Zhai, Qingni Shen, Zhonghai Wu:
Kallima: A Clean-Label Framework for Textual Backdoor Attacks. ESORICS (1) 2022: 447-466 - [c30]Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu:
Exploring Memorization in Adversarial Training. ICLR 2022 - [c29]Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu:
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. ICML 2022: 8465-8483 - [c28]Yuanhao Ban, Yinpeng Dong:
Pre-trained Adversarial Perturbations. NeurIPS 2022 - [c27]Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu:
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. NeurIPS 2022 - [c26]Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao:
Isometric 3D Adversarial Examples in the Physical World. NeurIPS 2022 - [c25]Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu, Chao Zhang:
AutoDA: Automated Decision-based Iterative Adversarial Attacks. USENIX Security Symposium 2022: 3557-3574 - [i42]Xiao Yang, Yinpeng Dong, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu:
Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition. CoRR abs/2203.04623 (2022) - [i41]Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu:
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior. CoRR abs/2203.06560 (2022) - [i40]Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou:
BadDet: Backdoor Attacks on Object Detection. CoRR abs/2205.14497 (2022) - [i39]Xiaoyi Chen, Yinpeng Dong, Zeyu Sun, Shengfang Zhai, Qingni Shen, Zhonghai Wu:
Kallima: A Clean-label Framework for Textual Backdoor Attacks. CoRR abs/2206.01832 (2022) - [i38]Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song:
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. CoRR abs/2206.04310 (2022) - [i37]Yuanhao Ban, Yinpeng Dong:
Pre-trained Adversarial Perturbations. CoRR abs/2210.03372 (2022) - [i36]Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu:
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. CoRR abs/2210.03895 (2022) - [i35]Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao:
Isometric 3D Adversarial Examples in the Physical World. CoRR abs/2210.15291 (2022) - [i34]Jinali Zhang, Yinpeng Dong, Jun Zhu, Jihong Zhu, Minchi Kuang, Xiaming Yuan:
Improving transferability of 3D adversarial attacks with scale and shear transformations. CoRR abs/2211.01093 (2022) - [i33]Yinpeng Dong, Peng Chen, Senyou Deng, Lianji L, Yi Sun, Hanyu Zhao, Jiaxing Li, Yunteng Tan, Xinyu Liu, Yangyi Dong, Enhui Xu, Jincai Xu, Shu Xu, Xuelin Fu, Changfeng Sun, Haoliang Han, Xuchong Zhang, Shen Chen, Zhimin Sun, Junyi Cao, Taiping Yao, Shouhong Ding, Yu Wu, Jian Lin, Tianpeng Wu, Ye Wang, Yu Fu, Lin Feng, Kangkang Gao, Zeyu Liu, Yuanzhe Pang, Chengqi Duan, Huipeng Zhou, Yajie Wang, Yuhang Zhao, Shangbo Wu, Haoran Lyu, Zhiyu Lin, Yifei Gao, Shuang Li, Haonan Wang, Jitao Sang, Chen Ma, Junhao Zheng, Yijia Li, Chao Shen, Chenhao Lin, Zhichao Cui, Guoshuai Liu, Huafeng Shi, Kun Hu, Mengxin Zhang:
Artificial Intelligence Security Competition (AISC). CoRR abs/2212.03412 (2022) - 2021
- [c24]Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu:
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models. CVPR 2021: 11845-11854 - [c23]Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue:
Towards Face Encryption by Generating Adversarial Identity Masks. ICCV 2021: 3877-3887 - [c22]Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu:
Black-box Detection of Backdoor Attacks with Limited Information and Data. ICCV 2021: 16462-16471 - [c21]Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu:
Bag of Tricks for Adversarial Training. ICLR 2021 - [c20]Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu:
Accumulative Poisoning Attacks on Real-time Data. NeurIPS 2021: 2899-2912 - [i32]Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu:
Black-box Detection of Backdoor Attacks with Limited Information and Data. CoRR abs/2103.13127 (2021) - [i31]Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu:
Automated Decision-based Adversarial Attacks. CoRR abs/2105.03931 (2021) - [i30]Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu:
Adversarial Training with Rectified Rejection. CoRR abs/2105.14785 (2021) - [i29]Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu:
Exploring Memorization in Adversarial Training. CoRR abs/2106.01606 (2021) - [i28]Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu:
Accumulative Poisoning Attacks on Real-time Data. CoRR abs/2106.09993 (2021) - [i27]Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu:
Improving Transferability of Adversarial Patches on Face Recognition with Generative Models. CoRR abs/2106.15058 (2021) - [i26]Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. CoRR abs/2107.01809 (2021) - [i25]Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen:
Adversarial Attacks on ML Defense Models Competition. CoRR abs/2110.08042 (2021) - [i24]Xiao Yang, Yinpeng Dong, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu:
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness. CoRR abs/2110.08256 (2021) - [i23]Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang:
Unrestricted Adversarial Attacks on ImageNet Competition. CoRR abs/2110.09903 (2021) - 2020
- [c19]Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu:
Benchmarking Adversarial Robustness on Image Classification. CVPR 2020: 318-328 - [c18]Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu:
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. ICLR 2020 - [c17]Zhicong Tang, Yinpeng Dong, Hang Su:
Error-Silenced Quantization: Bridging Robustness and Compactness. AISafety@IJCAI 2020 - [c16]Zhijie Deng, Yinpeng Dong, Shifeng Zhang, Jun Zhu:
Understanding and Exploring the Network with Stochastic Architectures. NeurIPS 2020 - [c15]Yinpeng Dong, Zhijie Deng, Tianyu Pang, Jun Zhu, Hang Su:
Adversarial Distributional Training for Robust Deep Learning. NeurIPS 2020 - [c14]Tianyu Pang, Xiao Yang, Yinpeng Dong, Taufik Xu, Jun Zhu, Hang Su:
Boosting Adversarial Training with Hypersphere Embedding. NeurIPS 2020 - [i22]Zhijie Deng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Adversarial Distributional Training for Robust Deep Learning. CoRR abs/2002.05999 (2020) - [i21]Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Hang Su, Jun Zhu:
Boosting Adversarial Training with Hypersphere Embedding. CoRR abs/2002.08619 (2020) - [i20]Xiao Yang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Hang Su:
Towards Privacy Protection by Generating Adversarial Identity Masks. CoRR abs/2003.06814 (2020) - [i19]Xiao Yang, Dingcheng Yang, Yinpeng Dong, Wenjian Yu, Hang Su, Jun Zhu:
Delving into the Adversarial Robustness on Face Recognition. CoRR abs/2007.04118 (2020) - [i18]Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu:
Bag of Tricks for Adversarial Training. CoRR abs/2010.00467 (2020) - [i17]Zhijie Deng, Xiao Yang, Hao Zhang, Yinpeng Dong, Jun Zhu:
BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning. CoRR abs/2010.01979 (2020)
2010 – 2019
- 2019
- [j1]Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Hang Su, Jun Zhu:
Stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks. Int. J. Comput. Vis. 127(11-12): 1629-1642 (2019) - [c13]You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu:
Composite Binary Decomposition Networks. AAAI 2019: 4747-4754 - [c12]Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks. CVPR 2019: 4312-4321 - [c11]Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu:
Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition. CVPR 2019: 7714-7722 - [c10]Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Improving Black-box Adversarial Attacks with a Transfer-based Prior. NeurIPS 2019: 10932-10942 - [i16]Yinpeng Dong, Fan Bao, Hang Su, Jun Zhu:
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples. CoRR abs/1901.09035 (2019) - [i15]Zhijie Deng, Yinpeng Dong, Jun Zhu:
Batch Virtual Adversarial Training for Graph Convolutional Networks. CoRR abs/1902.09192 (2019) - [i14]Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks. CoRR abs/1904.02884 (2019) - [i13]Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu:
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition. CoRR abs/1904.04433 (2019) - [i12]Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu:
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. CoRR abs/1905.10626 (2019) - [i11]Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu:
Improving Black-box Adversarial Attacks with a Transfer-based Prior. CoRR abs/1906.06919 (2019) - [i10]Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu:
Benchmarking Adversarial Robustness. CoRR abs/1912.11852 (2019) - 2018
- [c9]Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu:
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. CVPR 2018: 1778-1787 - [c8]Zhou Su, Chen Zhu, Yinpeng Dong, Dongqi Cai, Yurong Chen, Jianguo Li:
Learning Visual Knowledge Memory Networks for Visual Question Answering. CVPR 2018: 7736-7745 - [c7]Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li:
Boosting Adversarial Attacks With Momentum. CVPR 2018: 9185-9193 - [c6]Tianyu Pang, Chao Du, Yinpeng Dong, Jun Zhu:
Towards Robust Detection of Adversarial Examples. NeurIPS 2018: 4584-4594 - [i9]Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe:
Adversarial Attacks and Defences Competition. CoRR abs/1804.00097 (2018) - [i8]Zhou Su, Chen Zhu, Yinpeng Dong, Dongqi Cai, Yurong Chen, Jianguo Li:
Learning Visual Knowledge Memory Networks for Visual Question Answering. CoRR abs/1806.04860 (2018) - [i7]You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu:
Composite Binary Decomposition Networks. CoRR abs/1811.06668 (2018) - 2017
- [c5]Yinpeng Dong, Jianguo Li, Renkun Ni:
Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization. BMVC 2017 - [c4]Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang:
Improving Interpretability of Deep Neural Networks with Semantic Information. CVPR 2017: 975-983 - [c3]Hang Su, Jun Zhu, Yinpeng Dong, Bo Zhang:
Forecast the Plausible Paths in Crowd Scenes. IJCAI 2017: 2772-2778 - [i6]Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang:
Improving Interpretability of Deep Neural Networks with Semantic Information. CoRR abs/1703.04096 (2017) - [i5]Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Jun Zhu, Hang Su:
Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization. CoRR abs/1708.01001 (2017) - [i4]Yinpeng Dong, Hang Su, Jun Zhu, Fan Bao:
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples. CoRR abs/1708.05493 (2017) - [i3]Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Xiaolin Hu, Jun Zhu:
Discovering Adversarial Examples with Momentum. CoRR abs/1710.06081 (2017) - [i2]Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Xiaolin Hu:
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser. CoRR abs/1712.02976 (2017) - 2016
- [c2]Hang Su, Jun Zhu, Zhaozheng Yin, Yinpeng Dong, Bo Zhang:
Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph. ECCV (8) 2016: 583-598 - [c1]Hang Su, Yinpeng Dong, Jun Zhu, Haibin Ling, Bo Zhang:
Crowd Scene Understanding with Coherent Recurrent Neural Networks. IJCAI 2016: 3469-3476 - [i1]Yujie Qian, Yinpeng Dong, Ye Ma, Hailong Jin, Juanzi Li:
Feature Engineering and Ensemble Modeling for Paper Acceptance Rank Prediction. CoRR abs/1611.04369 (2016)
Coauthor Index
[c52] [c51] [c50] [c49] [c47] [i81] [i80] [i79] [i77] [i76] [i75] [i74] [i72] [i70] [i69] [i66] [c43] [c42] [c39] [c37] [c36] [i65] [i64] [i62] [i60] [i57] [i56] [i55] [i53] [i52] [i51] [i47] [i45] [j3] [j2] [c34] [c32] [c30] [c29] [c27] [c25] [i42] [i41] [i38] [i36] [c23] [c22] [c21] [c20] [i32] [i31] [i30] [i29] [i28] [i26] [i25] [i24] [i23] [c19] [c17] [c15] [c14] [i22] [i21] [i20] [i19] [i18] [j1] [c12] [c11] [c10] [i16] [i14] [i13] [i11] [i10] [c7] [c4] [c3] [i6] [i5] [i4] [c2] [c1]
[j6] [c52] [c51] [c50] [c49] [c48] [i81] [i79] [i77] [i75] [i71] [i69] [i68] [j5] [c43] [c42] [c37] [c35] [i65] [i64] [i63] [i62] [i60] [i58] [i56] [i47] [j3] [j2] [c34] [c33] [c32] [c30] [c29] [c27] [c26] [c25] [i42] [i41] [i40] [i38] [i36] [i35] [i34] [c24] [c23] [c22] [c21] [c20] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [c19] [c18] [c16] [c15] [c14] [i22] [i21] [i20] [i19] [i18] [i17] [j1] [c13] [c12] [c11] [c10] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [c9] [c7] [c6] [i9] [i7] [c4] [c3] [i6] [i5] [i4] [i3] [i2] [c2] [c1]
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