Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples

18 August 2017

Yinpeng Dong

Hang Su

Jun Zhu

Fan Bao

AAML

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Papers citing "Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples"

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Title
Adaptive Gradient for Adversarial Perturbations Generation Yatie Xiao Chi-Man Pun ODL 19 10 0 01 Feb 2019
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks Zenan Ling Haotian Ma Yu Yang Robert C. Qiu Song-Chun Zhu Quanshi Zhang MILM 14 3 0 08 Jan 2019
Multi-Label Adversarial Perturbations Qingquan Song Haifeng Jin Xiao Huang Xia Hu AAML 27 37 0 02 Jan 2019
FineFool: Fine Object Contour Attack via Attention Jinyin Chen Haibin Zheng Hui Xiong Mengmeng Su AAML 17 3 0 01 Dec 2018
Transferable Adversarial Attacks for Image and Video Object Detection Xingxing Wei Siyuan Liang Ning Chen Xiaochun Cao AAML 77 221 0 30 Nov 2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu Sijia Liu Pu Zhao Pin-Yu Chen Huan Zhang Quanfu Fan Deniz Erdogmus Yanzhi Wang X. Lin AAML 16 160 0 05 Aug 2018
Unsupervised Learning of Neural Networks to Explain Neural Networks Quanshi Zhang Yu Yang Yuchen Liu Ying Nian Wu Song-Chun Zhu FAtt SSL 12 27 0 18 May 2018
Learning More Robust Features with Adversarial Training Shuangtao Li Yuanke Chen Yanlin Peng Lin Bai OOD AAML 23 23 0 20 Apr 2018
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges Gabrielle Ras Marcel van Gerven W. Haselager XAI 17 217 0 20 Mar 2018
Bioinformatics and Medicine in the Era of Deep Learning D. Bacciu P. Lisboa José D. Martín R. Stoean A. Vellido AI4CE BDL 33 17 0 27 Feb 2018
Understanding and Enhancing the Transferability of Adversarial Examples Lei Wu Zhanxing Zhu Cheng Tai E. Weinan AAML SILM 30 96 0 27 Feb 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 32 51 0 02 Feb 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 22 1,855 0 02 Jan 2018
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 30 1,610 0 19 Dec 2017
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases Pierre Stock Moustapha Cissé FaML 39 46 0 30 Nov 2017
Interpretation of Neural Networks is Fragile Amirata Ghorbani Abubakar Abid James Zou FAtt AAML 80 857 0 29 Oct 2017
Boosting Adversarial Attacks with Momentum Yinpeng Dong Fangzhou Liao Tianyu Pang Hang Su Jun Zhu Xiaolin Hu Jianguo Li AAML 26 83 0 17 Oct 2017
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples Pin-Yu Chen Yash Sharma Huan Zhang Jinfeng Yi Cho-Jui Hsieh AAML 24 637 0 13 Sep 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016
Do semantic parts emerge in Convolutional Neural Networks? Abel Gonzalez-Garcia Davide Modolo V. Ferrari 158 113 0 13 Jul 2016