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NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks

1 May 2019

Tong Zhang

Papers citing "NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks"

41 / 91 papers shown

Title
PredCoin: Defense against Query-based Hard-label Attack Junfeng Guo Yaswanth Yadlapalli Lothar Thiele Ang Li Cong Liu AAML 51 0 0 04 Feb 2021
IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks Yixiang Wang Jiqiang Liu Xiaolin Chang J. Misic Vojislav B. Mišić AAML 69 12 0 03 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 153 201 0 31 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 97 61 0 24 Jan 2021
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 97 293 0 24 Nov 2020
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 96 16 0 06 Nov 2020
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms Rui Zhao AAML 60 1 0 02 Nov 2020
Adversarial Attacks on Binary Image Recognition Systems Eric Balkanski Harrison W. Chase Kojin Oshiba Alexander Rilee Yaron Singer Richard Wang AAML 78 4 0 22 Oct 2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback Jiancheng Yang Yangzhou Jiang Xiaoyang Huang Bingbing Ni Chenglong Zhao AAML 135 82 0 21 Oct 2020
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning Hongjun Wang Guanbin Li Xiaobai Liu Liang Lin GAN AAML 95 23 0 15 Oct 2020
CorrAttack: Black-box Adversarial Attack with Structured Search Zhichao Huang Yaowei Huang Tong Zhang AAML 64 8 0 03 Oct 2020
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense Maungmaung Aprilpyone Hitoshi Kiya 76 57 0 02 Oct 2020
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection Liang Gou Lincan Zou Nanxiang Li M. Hofmann A. Shekar A. Wendt Liu Ren 131 62 0 27 Sep 2020
Improving Query Efficiency of Black-box Adversarial Attack Yang Bai Yuyuan Zeng Yong Jiang Yisen Wang Shutao Xia Weiwei Guo AAML MLAU 122 53 0 24 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma Lixing Chen Junhai Yong MLAU OOD 93 17 0 02 Sep 2020
Towards Visual Distortion in Black-Box Attacks Nannan Li Zhenzhong Chen 89 12 0 21 Jul 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 127 66 0 15 Jul 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Simon Lacoste-Julien William L. Hamilton AAML GAN 133 52 0 01 Jul 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack Jinghui Chen Quanquan Gu AAML 85 139 0 23 Jun 2020
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution Yan Feng Baoyuan Wu Yanbo Fan Li Liu Zhifeng Li Shutao Xia AAML 77 6 0 15 Jun 2020
Scalable Backdoor Detection in Neural Networks Haripriya Harikumar Vuong Le Santu Rana Sourangshu Bhattacharya Sunil R. Gupta Svetha Venkatesh 117 24 0 10 Jun 2020
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses Yaxin Li Wei Jin Han Xu Jiliang Tang AAML 97 133 0 13 May 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model Dongdong Wang Yandong Li Liqiang Wang Boqing Gong 76 49 0 31 Mar 2020
Frequency-Tuned Universal Adversarial Attacks Yingpeng Deng Lina Karam AAML 51 7 0 11 Mar 2020
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets Thu Dinh Bao Wang Andrea L. Bertozzi Stanley J. Osher AAML 36 17 0 02 Mar 2020
Adversarial Distributional Training for Robust Deep Learning Yinpeng Dong Zhijie Deng Tianyu Pang Hang Su Jun Zhu OOD 96 123 0 14 Feb 2020
Benchmarking Adversarial Robustness Yinpeng Dong Qi-An Fu Xiao Yang Tianyu Pang Hang Su Zihao Xiao Jun Zhu AAML 108 36 0 26 Dec 2019
A Survey of Black-Box Adversarial Attacks on Computer Vision Models Siddhant Bhambri Sumanyu Muku Avinash Tulasi Arun Balaji Buduru AAML VLM 72 79 0 03 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 176 997 0 29 Nov 2019
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples Chang Xiao Changxi Zheng AAML 76 19 0 25 Nov 2019
Black-Box Adversarial Attack with Transferable Model-based Embedding Zhichao Huang Tong Zhang 77 119 0 17 Nov 2019
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML Sijia Liu Songtao Lu Xiangyi Chen Yao Feng Kaidi Xu Abdullah Al-Dujaili Mingyi Hong Una-May Obelilly 94 26 0 30 Sep 2019
Robust Local Features for Improving the Generalization of Adversarial Training Chuanbiao Song Kun He Jiadong Lin Liwei Wang John E. Hopcroft OOD AAML 75 70 0 23 Sep 2019
Transferring Robustness for Graph Neural Network Against Poisoning Attacks Xianfeng Tang Yandong Li Yiwei Sun Huaxiu Yao P. Mitra Suhang Wang OOD AAML 122 184 0 20 Aug 2019
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries Fnu Suya Jianfeng Chi David Evans Yuan Tian AAML 105 86 0 19 Aug 2019
Multi-way Encoding for Robustness Donghyun Kim Sarah Adel Bargal Jianming Zhang Stan Sclaroff AAML 41 2 0 05 Jun 2019
Adversarially Robust Generalization Just Requires More Unlabeled Data Runtian Zhai Tianle Cai Di He Chen Dan Kun He John E. Hopcroft Liwei Wang 98 158 0 03 Jun 2019
Generalizable Adversarial Attacks with Latent Variable Perturbation Modelling A. Bose Andre Cianflone William L. Hamilton OOD AAML 75 7 0 26 May 2019
Thwarting finite difference adversarial attacks with output randomization Haidar Khan Daniel Park Azer Khan B. Yener SILM AAML 52 0 0 23 May 2019
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks Jinghui Chen Dongruo Zhou Jinfeng Yi Quanquan Gu AAML 93 68 0 27 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 108 22 0 03 Nov 2018