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Accumulative Poisoning Attacks on Real-time Data


Jun 18, 2021
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu


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Exploring Memorization in Adversarial Training


Jun 03, 2021
Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu


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Adversarial Training with Rectified Rejection


May 31, 2021
Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu


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Automated Decision-based Adversarial Attacks


May 09, 2021
Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu

* 16 pages, 6 figures 

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Black-box Detection of Backdoor Attacks with Limited Information and Data


Mar 24, 2021
Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu


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BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning


Oct 05, 2020
Zhijie Deng, Xiao Yang, Hao Zhang, Yinpeng Dong, Jun Zhu


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Bag of Tricks for Adversarial Training


Oct 01, 2020
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu


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Delving into the Adversarial Robustness on Face Recognition


Jul 08, 2020
Xiao Yang, Dingcheng Yang, Yinpeng Dong, Wenjian Yu, Hang Su, Jun Zhu


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Towards Privacy Protection by Generating Adversarial Identity Masks


Mar 15, 2020
Xiao Yang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Hang Su

* 19 pages 

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Boosting Adversarial Training with Hypersphere Embedding


Feb 20, 2020
Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Hang Su, Jun Zhu


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Adversarial Distributional Training for Robust Deep Learning


Feb 14, 2020
Zhijie Deng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu


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Benchmarking Adversarial Robustness


Dec 26, 2019
Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu


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Improving Black-box Adversarial Attacks with a Transfer-based Prior


Jun 17, 2019
Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu


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Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness


May 25, 2019
Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu


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Efficient Decision-based Black-box Adversarial Attacks on Face Recognition


Apr 09, 2019
Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu

* CVPR 2019 

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Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks


Apr 05, 2019
Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

* CVPR 2019 (Oral) 

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Batch Virtual Adversarial Training for Graph Convolutional Networks


Feb 25, 2019
Zhijie Deng, Yinpeng Dong, Jun Zhu


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Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples


Jan 25, 2019
Yinpeng Dong, Fan Bao, Hang Su, Jun Zhu

* In AAAI-19 Workshop on Network Interpretability for Deep Learning 

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Composite Binary Decomposition Networks


Nov 16, 2018
You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu


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Technical Report on the CleverHans v2.1.0 Adversarial Examples Library


Jun 27, 2018
Nicolas Papernot, Fartash Faghri, Nicholas Carlini, Ian Goodfellow, Reuben Feinman, Alexey Kurakin, Cihang Xie, Yash Sharma, Tom Brown, Aurko Roy, Alexander Matyasko, Vahid Behzadan, Karen Hambardzumyan, Zhishuai Zhang, Yi-Lin Juang, Zhi Li, Ryan Sheatsley, Abhibhav Garg, Jonathan Uesato, Willi Gierke, Yinpeng Dong, David Berthelot, Paul Hendricks, Jonas Rauber, Rujun Long, Patrick McDaniel

* Technical report for https://github.com/tensorflow/cleverhans 

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Learning Visual Knowledge Memory Networks for Visual Question Answering


Jun 13, 2018
Zhou Su, Chen Zhu, Yinpeng Dong, Dongqi Cai, Yurong Chen, Jianguo Li

* Supplementary to CVPR 2018 version 

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Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser


May 08, 2018
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu

* CVPR 2018 

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Adversarial Attacks and Defences Competition


Mar 31, 2018
Alexey Kurakin, Ian Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe

* 36 pages, 10 figures 

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Boosting Adversarial Attacks with Momentum


Mar 22, 2018
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li

* CVPR 2018 Spotlight 

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Towards Robust Detection of Adversarial Examples


Feb 26, 2018
Tianyu Pang, Chao Du, Yinpeng Dong, Jun Zhu


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Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization


Aug 03, 2017
Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Jun Zhu, Hang Su

* BMVC 2017 Oral 

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Improving Interpretability of Deep Neural Networks with Semantic Information


Mar 30, 2017
Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang

* To appear in CVPR 2017 

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Feature Engineering and Ensemble Modeling for Paper Acceptance Rank Prediction


Nov 14, 2016
Yujie Qian, Yinpeng Dong, Ye Ma, Hailong Jin, Juanzi Li

* 2nd place winner report of KDD Cup 2016. More details can be found at https://kddcup2016.azurewebsites.net 

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