Ensemble Adversarial Training: Attacks and Defenses

19 May 2017

Dan Boneh

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

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Title
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang Xilie Xu Bo Han Gang Niu Li-zhen Cui Masashi Sugiyama Mohan S. Kankanhalli AAML 33 398 0 26 Feb 2020
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors Sai Aparna Aketi Priyadarshini Panda Kaushik Roy 8 1 0 25 Feb 2020
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space Camilo Pestana Naveed Akhtar Wei Liu D. Glance Ajmal Mian AAML 29 10 0 25 Feb 2020
Towards Rapid and Robust Adversarial Training with One-Step Attacks Leo Schwinn René Raab Björn Eskofier AAML 33 6 0 24 Feb 2020
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference Ting-Kuei Hu Tianlong Chen Haotao Wang Zhangyang Wang OOD AAML 3DH 12 84 0 24 Feb 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 25 108 0 23 Feb 2020
Using Single-Step Adversarial Training to Defend Iterative Adversarial Examples Guanxiong Liu Issa M. Khalil Abdallah Khreishah AAML 22 19 0 22 Feb 2020
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment Scott Freitas Shang-Tse Chen Zijie J. Wang Duen Horng Chau AAML 26 23 0 21 Feb 2020
Robustness from Simple Classifiers Sharon Qian Dimitris Kalimeris Gal Kaplun Yaron Singer AAML 13 1 0 21 Feb 2020
MaxUp: A Simple Way to Improve Generalization of Neural Network Training Chengyue Gong Tongzheng Ren Mao Ye Qiang Liu AAML 29 56 0 20 Feb 2020
Strategy to Increase the Safety of a DNN-based Perception for HAD Systems Timo Sämann Peter Schlicht Fabian Hüger 8 15 0 20 Feb 2020
Boosting Adversarial Training with Hypersphere Embedding Tianyu Pang Xiao Yang Yinpeng Dong Kun Xu Jun Zhu Hang Su AAML 33 154 0 20 Feb 2020
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 109 823 0 19 Feb 2020
TensorShield: Tensor-based Defense Against Adversarial Attacks on Images Negin Entezari Evangelos E. Papalexakis AAML 16 6 0 18 Feb 2020
Blind Adversarial Network Perturbations Milad Nasr Alireza Bahramali Amir Houmansadr AAML 16 6 0 16 Feb 2020
Adversarial Distributional Training for Robust Deep Learning Yinpeng Dong Zhijie Deng Tianyu Pang Hang Su Jun Zhu OOD 27 121 0 14 Feb 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets Dongxian Wu Yisen Wang Shutao Xia James Bailey Xingjun Ma AAML SILM 25 310 0 14 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 29 485 0 12 Feb 2020
Improving the affordability of robustness training for DNNs Sidharth Gupta Parijat Dube Ashish Verma AAML 27 15 0 11 Feb 2020
Playing to Learn Better: Repeated Games for Adversarial Learning with Multiple Classifiers P. Dasgupta J. B. Collins Michael McCarrick AAML 27 1 0 10 Feb 2020
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks Qing Guo Felix Juefei Xu Xiaofei Xie Lei Ma Jian-Xun Wang Bing Yu Wei Feng Yang Liu AAML 36 16 0 10 Feb 2020
Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks Lu Chen Wenyuan Xu AAML 24 21 0 08 Feb 2020
AI-GAN: Attack-Inspired Generation of Adversarial Examples Tao Bai Jun Zhao Jinlin Zhu Shoudong Han Jiefeng Chen Bo Li Alex C. Kot GAN 39 48 0 06 Feb 2020
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study David Mickisch F. Assion Florens Greßner W. Günther M. Motta AAML 19 34 0 05 Feb 2020
Minimax Defense against Gradient-based Adversarial Attacks Blerta Lindqvist R. Izmailov AAML 19 0 0 04 Feb 2020
Regularizers for Single-step Adversarial Training S. VivekB. R. Venkatesh Babu AAML 16 7 0 03 Feb 2020
Towards Sharper First-Order Adversary with Quantized Gradients Zhuanghua Liu Ivor W. Tsang AAML 22 0 0 01 Feb 2020
Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellers Xiao Zhang Dongrui Wu L. Ding Hanbin Luo Chin-Teng Lin T. Jung Ricardo Chavarriaga AAML 22 59 0 30 Jan 2020
Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous Vehicles Yilan Li Senem Velipasalar AAML 6 7 0 25 Jan 2020
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 52 376 0 21 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 31 104 0 16 Jan 2020
Fast is better than free: Revisiting adversarial training Eric Wong Leslie Rice J. Zico Kolter AAML OOD 99 1,160 0 12 Jan 2020
Sparse Black-box Video Attack with Reinforcement Learning Xingxing Wei Huanqian Yan Bo Li AAML 31 49 0 11 Jan 2020
PaRoT: A Practical Framework for Robust Deep Neural Network Training Edward W. Ayers Francisco Eiras Majd Hawasly I. Whiteside OOD 23 19 0 07 Jan 2020
Efficient Adversarial Training with Transferable Adversarial Examples Haizhong Zheng Ziqi Zhang Juncheng Gu Honglak Lee A. Prakash AAML 24 108 0 27 Dec 2019
Benchmarking Adversarial Robustness Yinpeng Dong Qi-An Fu Xiao Yang Tianyu Pang Hang Su Zihao Xiao Jun Zhu AAML 31 36 0 26 Dec 2019
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing Jinyuan Jia Xiaoyu Cao Binghui Wang Neil Zhenqiang Gong AAML 26 92 0 20 Dec 2019
A New Ensemble Method for Concessively Targeted Multi-model Attack Ziwen He Wei Wang Xinsheng Xuan Jing Dong Tieniu Tan AAML 19 2 0 19 Dec 2019
$n$ -ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 18 6 0 19 Dec 2019
Towards a Robust Classifier: An MDL-Based Method for Generating Adversarial Examples B. Asadi Vijay Varadharajan AAML 23 3 0 11 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 81 6,103 0 10 Dec 2019
Statistically Robust Neural Network Classification Benjie Wang Stefan Webb Tom Rainforth OOD AAML 24 19 0 10 Dec 2019
Expansion of Cyber Attack Data From Unbalanced Datasets Using Generative Techniques Ibrahim Yilmaz Rahat Masum 27 14 0 10 Dec 2019
A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks P. Dasgupta J. B. Collins AAML 9 43 0 04 Dec 2019
Walking on the Edge: Fast, Low-Distortion Adversarial Examples Hanwei Zhang Yannis Avrithis Teddy Furon Laurent Amsaleg AAML 20 45 0 04 Dec 2019
A Survey of Black-Box Adversarial Attacks on Computer Vision Models Siddhant Bhambri Sumanyu Muku Avinash Tulasi Arun Balaji Buduru AAML VLM 20 79 0 03 Dec 2019
Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs Zihan Liu Lubin Meng Xiao Zhang Weili Fang Dongrui Wu AAML 19 39 0 03 Dec 2019
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 39 145 0 02 Dec 2019
Indirect Local Attacks for Context-aware Semantic Segmentation Networks K. K. Nakka Mathieu Salzmann SSeg AAML 19 31 0 29 Nov 2019
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 15 14 0 28 Nov 2019