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Yinpeng Dong
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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