Yinpeng Dong

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 132

Top Venues

Publications

Yu Tian, Xiao Yang, Yinpeng Dong, Heming Yang, Hang Su, Jun Zhu
BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators. CoRR (2024)
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 (2024)
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 (2024)
Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu
Your Diffusion Model is Secretly a Certifiably Robust Classifier. CoRR (2024)
Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu
Rethinking Model Ensemble in Transfer-based Adversarial Attacks. ICLR (2024)
Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. ICLR (2024)
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 (2024)
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 (2024)
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 (2024)
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)
Yibo Miao, Yifan Zhu, Yinpeng Dong, Lijia Yu, Jun Zhu, Xiao-Shan Gao
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models. CoRR (2024)
Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. CoRR (2024)
Shengfang Zhai, Weilong Wang, Jiajun Li, Yinpeng Dong, Hang Su, Qingni Shen
Discovering Universal Semantic Triggers for Text-to-Image Synthesis. CoRR (2024)
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 (2024)
Jiawei Chen, Xiao Yang, Yinpeng Dong, Hang Su, Jianteng Peng, Zhaoxia Yin
FaceCat: Enhancing Face Recognition Security with a Unified Generative Model Framework. CoRR (2024)
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 (2024)
Shouwei Ruan, Yinpeng Dong, Hanqing Liu, Yao Huang, Hang Su, Xingxing Wei
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models. CoRR (2024)
Yifan Zhu, Yibo Miao, Yinpeng Dong, Xiao-Shan Gao
Toward Availability Attacks in 3D Point Clouds. CoRR (2024)
Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models. CoRR (2024)
Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. CoRR (2023)
Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao
Compacting Binary Neural Networks by Sparse Kernel Selection. CVPR (2023)
Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction. NeurIPS (2023)
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 (2023)
Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction. CoRR (2023)
Xingxing Wei, Shouwei Ruan, Yinpeng Dong, Hang Su
Distributional Modeling for Location-Aware Adversarial Patches. CoRR (2023)
Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang
Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos. CoRR (2023)
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 (2023)
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 (2023)
Haixu Song, Shiyu Huang, Yinpeng Dong, Wei-Wei Tu
Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models. CoRR (2023)
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 (2023)
Hongcheng Gao, Hao Zhang, Yinpeng Dong, Zhijie Deng
Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks. CoRR (2023)
Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training. CoRR (2023)
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 (2023)
Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao
Compacting Binary Neural Networks by Sparse Kernel Selection. CoRR (2023)
Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. CoRR (2023)
Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu
Robust Classification via a Single Diffusion Model. CoRR (2023)
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 (2023)
Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang
Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos. ICCV (2023)
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 (2023)
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)
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)
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 (2023)
Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. ICCV (2023)
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 (2023)
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)
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)
Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Yang, Hang Su, Xingxing Wei
Towards Transferable Targeted 3D Adversarial Attack in the Physical World. CoRR (2023)
Youze Wang, Wenbo Hu, Yinpeng Dong, Richang Hong
Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning. CoRR (2023)
Yu Tian, Xiao Yang, Jingyuan Zhang, Yinpeng Dong, Hang Su
Evil Geniuses: Delving into the Safety of LLM-based Agents. CoRR (2023)
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 (2023)
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)
Zhijie Deng, Yinpeng Dong, Jun Zhu
Batch virtual adversarial training for graph convolutional networks. AI Open 4 (2023)
Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu
Rethinking Model Ensemble in Transfer-based Adversarial Attacks. CoRR (2023)
Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
Exploring Memorization in Adversarial Training. ICLR (2022)
Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou
BadDet: Backdoor Attacks on Object Detection. ECCV Workshops (1) (2022)
Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao
Isometric 3D Adversarial Examples in the Physical World. NeurIPS (2022)
Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. CoRR (2022)
Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints. NeurIPS (2022)
Yuanhao Ban, Yinpeng Dong
Pre-trained Adversarial Perturbations. CoRR (2022)
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 (2022)
Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu, Chao Zhang
AutoDA: Automated Decision-based Iterative Adversarial Attacks. USENIX Security Symposium (2022)
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)
Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. ICML (2022)
Xiaoyi Chen, Yinpeng Dong, Zeyu Sun, Shengfang Zhai, Qingni Shen, Zhonghai Wu
Kallima: A Clean-label Framework for Textual Backdoor Attacks. CoRR (2022)
Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou
BadDet: Backdoor Attacks on Object Detection. CoRR (2022)
Jinali Zhang, Yinpeng Dong, Jun Zhu, Jihong Zhu, Minchi Kuang, Xiaming Yuan
Improving transferability of 3D adversarial attacks with scale and shear transformations. CoRR (2022)
Xiaoyi Chen, Yinpeng Dong, Zeyu Sun, Shengfang Zhai, Qingni Shen, Zhonghai Wu
Kallima: A Clean-Label Framework for Textual Backdoor Attacks. ESORICS (1) (2022)
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 (2022)
Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior. CoRR (2022)
Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. CoRR (2022)
Xiao Yang, Yinpeng Dong, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition. CoRR (2022)
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) (2022)
Yuanhao Ban, Yinpeng Dong
Pre-trained Adversarial Perturbations. NeurIPS (2022)
Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. ECCV (4) (2022)
Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao
Isometric 3D Adversarial Examples in the Physical World. CoRR (2022)
Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu
Automated Decision-based Adversarial Attacks. CoRR (2021)
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)
Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. CoRR (2021)
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
Accumulative Poisoning Attacks on Real-time Data. NeurIPS (2021)
Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue
Towards Face Encryption by Generating Adversarial Identity Masks. ICCV (2021)
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 (2021)
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 (2021)
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 (2021)
Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu
Adversarial Training with Rectified Rejection. CoRR (2021)
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
Accumulative Poisoning Attacks on Real-time Data. CoRR (2021)
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
Bag of Tricks for Adversarial Training. ICLR (2021)
Xiao Yang, Yinpeng Dong, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness. CoRR (2021)
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)
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 (2021)
Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
Exploring Memorization in Adversarial Training. CoRR (2021)
Zhijie Deng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
Adversarial Distributional Training for Robust Deep Learning. CoRR (2020)
Xiao Yang, Dingcheng Yang, Yinpeng Dong, Wenjian Yu, Hang Su, Jun Zhu
Delving into the Adversarial Robustness on Face Recognition. CoRR (2020)
Yinpeng Dong, Zhijie Deng, Tianyu Pang, Jun Zhu, Hang Su
Adversarial Distributional Training for Robust Deep Learning. NeurIPS (2020)
Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu
Benchmarking Adversarial Robustness on Image Classification. CVPR (2020)
Tianyu Pang, Xiao Yang, Yinpeng Dong, Taufik Xu, Jun Zhu, Hang Su
Boosting Adversarial Training with Hypersphere Embedding. NeurIPS (2020)
Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. ICLR (2020)
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
Bag of Tricks for Adversarial Training. CoRR (2020)
Zhicong Tang, Yinpeng Dong, Hang Su
Error-Silenced Quantization: Bridging Robustness and Compactness. AISafety@IJCAI (2020)
Zhijie Deng, Yinpeng Dong, Shifeng Zhang, Jun Zhu
Understanding and Exploring the Network with Stochastic Architectures. NeurIPS (2020)
Zhijie Deng, Xiao Yang, Hao Zhang, Yinpeng Dong, Jun Zhu
BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yinpeng Dong