Ensemble Adversarial Training: Attacks and Defenses

19 May 2017

Dan Boneh

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

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Title
"What's in the box?!": Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models Sahar Abdelnabi Mario Fritz AAML 32 7 0 09 Feb 2021
Target Training Does Adversarial Training Without Adversarial Samples Blerta Lindqvist AAML 13 0 0 09 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 34 49 0 09 Feb 2021
Benford's law: what does it say on adversarial images? João G. Zago Fabio L. Baldissera Eric A. Antonelo Rodrigo T. Saad AAML 22 2 0 09 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning Xinlei He Yang Zhang 21 51 0 08 Feb 2021
Adversarial example generation with AdaBelief Optimizer and Crop Invariance Bo Yang Hengwei Zhang Yuchen Zhang Kaiyong Xu Jin-dong Wang AAML 33 29 0 07 Feb 2021
Noise Optimization for Artificial Neural Networks Li Xiao Zeliang Zhang Yijie Peng 39 13 0 06 Feb 2021
Robust Single-step Adversarial Training with Regularizer Lehui Xie Yaopeng Wang Jianwei Yin Ximeng Liu AAML 36 1 0 05 Feb 2021
Optimal Transport as a Defense Against Adversarial Attacks Quentin Bouniot Romaric Audigier Angélique Loesch AAML OOD 11 9 0 05 Feb 2021
PredCoin: Defense against Query-based Hard-label Attack Junfeng Guo Yaswanth Yadlapalli Lothar Thiele Ang Li Cong Liu AAML 28 0 0 04 Feb 2021
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu AAML 37 25 0 04 Feb 2021
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice V. Kulkarni M. Gawali A. Kharat VLM 56 21 0 03 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 86 476 0 02 Feb 2021
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems Alireza Bahramali Milad Nasr Amir Houmansadr Dennis Goeckel Don Towsley AAML 45 53 0 01 Feb 2021
Towards Speeding up Adversarial Training in Latent Spaces Yaguan Qian Qiqi Shao Tengteng Yao Bin Wang Shouling Ji Shaoning Zeng Zhaoquan Gu Wassim Swaileh AAML 22 4 0 01 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 86 194 0 31 Jan 2021
Adversarial Learning with Cost-Sensitive Classes Hao Shen Sihong Chen Ran Wang Xizhao Wang AAML 30 11 0 29 Jan 2021
Increasing the Confidence of Deep Neural Networks by Coverage Analysis Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 26 13 0 28 Jan 2021
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning Hemant Rathore S. K. Sahay Piyush Nikam Mohit Sewak AAML 24 61 0 27 Jan 2021
Generalizing Adversarial Examples by AdaBelief Optimizer Yixiang Wang Jiqiang Liu Xiaolin Chang AAML 22 1 0 25 Jan 2021
A Comprehensive Evaluation Framework for Deep Model Robustness Jun Guo Wei Bao Jiakai Wang Yuqing Ma Xing Gao Gang Xiao Aishan Liu Zehao Zhao Xianglong Liu Wenjun Wu AAML ELM 38 55 0 24 Jan 2021
Online Adversarial Purification based on Self-Supervision Changhao Shi Chester Holtz Gal Mishne AAML 14 57 0 23 Jan 2021
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks Xinyang Zhang Ren Pang S. Ji Fenglong Ma Ting Wang HAI AI4CE 19 5 0 22 Jan 2021
Image Steganography based on Iteratively Adversarial Samples of A Synchronized-directions Sub-image Xinghong Qin Shunquan Tan Bin Li Weixuan Tang Jiwu Huang GAN AAML DiffM 11 0 0 13 Jan 2021
On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks Junyoung Byun Hyojun Go Changick Kim AAML 140 19 0 13 Jan 2021
Random Transformation of Image Brightness for Adversarial Attack Bo Yang Kaiyong Xu Hengjun Wang Hengwei Zhang AAML 30 8 0 12 Jan 2021
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective Pulei Xiong Scott Buffett Shahrear Iqbal Philippe Lamontagne M. Mamun Heather Molyneaux OOD 47 15 0 08 Jan 2021
Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks Marissa Dotter Sherry Xie Keith Manville Josh Harguess Colin Busho Mikel Rodriguez AAML 12 2 0 08 Jan 2021
Unsupervised Domain Adaptation of Black-Box Source Models Haojian Zhang Yabin Zhang Kui Jia Lei Zhang 135 51 0 08 Jan 2021
Understanding the Error in Evaluating Adversarial Robustness Pengfei Xia Ziqiang Li Hongjing Niu Bin Li AAML ELM 44 5 0 07 Jan 2021
Practical Blind Membership Inference Attack via Differential Comparisons Bo Hui Yuchen Yang Haolin Yuan Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao MIACV 35 121 0 05 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Mohamed Bennai Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 81 100 0 04 Jan 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning Konstantinos P. Panousis S. Chatzis Antonios Alexos Sergios Theodoridis BDL AAML OOD 61 19 0 04 Jan 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks Lianli Gao Qilong Zhang Jingkuan Song Heng Tao Shen AAML 40 17 0 31 Dec 2020
Enhanced Regularizers for Attributional Robustness A. Sarkar Anirban Sarkar V. Balasubramanian 27 16 0 28 Dec 2020
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning Ahmadreza Jeddi M. Shafiee A. Wong AAML 38 38 0 25 Dec 2020
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines Aidan Kehoe P. Wittek Yanbo Xue Alejandro Pozas-Kerstjens AAML 37 7 0 21 Dec 2020
On Success and Simplicity: A Second Look at Transferable Targeted Attacks Zhengyu Zhao Zhuoran Liu Martha Larson AAML 46 122 0 21 Dec 2020
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks Qingsong Yao Zecheng He Yi Lin Kai Ma Yefeng Zheng S. Kevin Zhou AAML MedIm 27 16 0 17 Dec 2020
Characterizing the Evasion Attackability of Multi-label Classifiers Zhuo Yang Yufei Han Xiangliang Zhang AAML 19 10 0 17 Dec 2020
A Closer Look at the Robustness of Vision-and-Language Pre-trained Models Linjie Li Zhe Gan Jingjing Liu VLM 33 42 0 15 Dec 2020
Amata: An Annealing Mechanism for Adversarial Training Acceleration Nanyang Ye Qianxiao Li Xiao-Yun Zhou Zhanxing Zhu AAML 34 15 0 15 Dec 2020
Hypothesis Disparity Regularized Mutual Information Maximization Qicheng Lao Xiang Jiang Mohammad Havaei 33 24 0 15 Dec 2020
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints X. Li Xiangrui Li Deng Pan D. Zhu AAML 21 17 0 14 Dec 2020
Achieving Adversarial Robustness Requires An Active Teacher Chao Ma Lexing Ying 27 1 0 14 Dec 2020
Mitigating the Impact of Adversarial Attacks in Very Deep Networks Mohammed Hassanin Ibrahim Radwan Nour Moustafa M. Tahtali Neeraj Kumar AAML 18 5 0 08 Dec 2020
Locally optimal detection of stochastic targeted universal adversarial perturbations Amish Goel P. Moulin AAML 19 2 0 08 Dec 2020
Backpropagating Linearly Improves Transferability of Adversarial Examples Yiwen Guo Qizhang Li Hao Chen FedML AAML 34 115 0 07 Dec 2020
Evaluating adversarial robustness in simulated cerebellum Liu Yuezhang Bo Li Qifeng Chen AAML 9 0 0 05 Dec 2020
Towards Natural Robustness Against Adversarial Examples Haoyu Chu Shikui Wei Yao-Min Zhao AAML 19 1 0 04 Dec 2020