Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

5 April 2019

Yinpeng Dong

Tianyu Pang

Hang Su

Jun Zhu

SILM

AAML

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Papers citing "Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks"

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Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions Nodens Koren Qiuhong Ke Yisen Wang James Bailey Xingjun Ma AAML 9 1 0 17 Jan 2021
Random Transformation of Image Brightness for Adversarial Attack Bo Yang Kaiyong Xu Hengjun Wang Hengwei Zhang AAML 14 8 0 12 Jan 2021
Robust Text CAPTCHAs Using Adversarial Examples Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh AAML 32 16 0 07 Jan 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks Lianli Gao Qilong Zhang Jingkuan Song Heng Tao Shen AAML 35 17 0 31 Dec 2020
On Success and Simplicity: A Second Look at Transferable Targeted Attacks Zhengyu Zhao Zhuoran Liu Martha Larson AAML 38 122 0 21 Dec 2020
Boosting Adversarial Attacks on Neural Networks with Better Optimizer Heng Yin Hengwei Zhang Jin-dong Wang Ruiyu Dou AAML 32 8 0 01 Dec 2020
Towards Imperceptible Universal Attacks on Texture Recognition Yingpeng Deng Lina Karam AAML 16 1 0 24 Nov 2020
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification Weitao Wan Jiansheng Chen Cheng Yu Tong Wu Yuanyi Zhong Ming-Hsuan Yang 16 7 0 18 Nov 2020
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks Martin Gubri Maxime Cordy Mike Papadakis Yves Le Traon Koushik Sen AAML 29 11 0 10 Nov 2020
Fast Local Attack: Generating Local Adversarial Examples for Object Detectors Quanyu Liao Xin Wang Bin Kong Siwei Lyu Youbing Yin Qi Song Xi Wu ObjD AAML 35 4 0 27 Oct 2020
Class-Conditional Defense GAN Against End-to-End Speech Attacks Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 21 14 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 18 81 0 21 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 29 94 0 08 Oct 2020
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective Philipp Benz Chaoning Zhang In So Kweon AAML 11 39 0 07 Oct 2020
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense Maungmaung Aprilpyone Hitoshi Kiya 29 57 0 02 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 25 261 0 01 Oct 2020
Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection Ruijun Gao Qing Guo Felix Juefei Xu Hongkai Yu Huazhu Fu Wei Feng Yang Liu Song Wang AAML 18 14 0 19 Sep 2020
Adversarial Exposure Attack on Diabetic Retinopathy Imagery Yupeng Cheng Felix Juefei Xu Qing Guo Huazhu Fu Xiaofei Xie Shang-Wei Lin Weisi Lin Yang Liu AAML MedIm 21 0 0 19 Sep 2020
Adversarial Rain Attack and Defensive Deraining for DNN Perception Liming Zhai Felix Juefei Xu Qing Guo Xiaofei Xie L. Ma Weiiia Feng Shengchao Qin Yang Liu AAML 20 16 0 19 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 156 0 08 Sep 2020
Adversarial Eigen Attack on Black-Box Models Linjun Zhou Peng Cui Yinan Jiang Shiqiang Yang AAML 6 12 0 27 Aug 2020
Relevance Attack on Detectors Sizhe Chen Fan He Xiaolin Huang Kun Zhang AAML 24 16 0 16 Aug 2020
Semantically Adversarial Learnable Filters Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro GAN 14 5 0 13 Aug 2020
Exploiting vulnerabilities of deep neural networks for privacy protection Ricardo Sánchez-Matilla C. Li Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML PICV 8 24 0 19 Jul 2020
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack Yupeng Cheng Qing Guo Felix Juefei Xu Wei Feng Shang-Wei Lin Weisi Lin Yang Liu AAML 38 46 0 14 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 32 137 0 14 Jul 2020
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning Feng Wang Chen Zhong M. C. Gursoy Senem Velipasalar AAML 18 8 0 12 Jul 2020
Generating Adversarial Inputs Using A Black-box Differential Technique J. Matos Lucas C. Cordeiro Marcelo d’Amorim Xiaowei Huang AAML 8 0 0 10 Jul 2020
RobFR: Benchmarking Adversarial Robustness on Face Recognition Xiao Yang Dingcheng Yang Yinpeng Dong Hang Su Wenjian Yu Jun Zhu AAML 74 14 0 08 Jul 2020
Making Adversarial Examples More Transferable and Indistinguishable Junhua Zou Yexin Duan Xin Liu Junyang Qiu Yu Pan Zhisong Pan AAML 19 31 0 08 Jul 2020
Generating Adversarial Examples with Controllable Non-transferability Renzhi Wang Tianwei Zhang Xiaofei Xie L. Ma Cong Tian Felix Juefei Xu Yang Liu SILM AAML 17 3 0 02 Jul 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Simon Lacoste-Julien William L. Hamilton AAML GAN 33 51 0 01 Jul 2020
Orthogonal Deep Models As Defense Against Black-Box Attacks M. Jalwana Naveed Akhtar Bennamoun Ajmal Mian AAML 14 11 0 26 Jun 2020
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability Kaizhao Liang Jacky Y. Zhang Wei Ping Zhuolin Yang Oluwasanmi Koyejo Yangqiu Song AAML 33 25 0 25 Jun 2020
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks Huiying Li Shawn Shan Emily Wenger Jiayun Zhang Haitao Zheng Ben Y. Zhao AAML 23 42 0 24 Jun 2020
A Self-supervised Approach for Adversarial Robustness Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 16 251 0 08 Jun 2020
Increased-confidence adversarial examples for deep learning counter-forensics Wenjie Li B. Tondi R. Ni Mauro Barni AAML 11 2 0 12 May 2020
Class-Aware Domain Adaptation for Improving Adversarial Robustness Xianxu Hou Jingxin Liu Bolei Xu Xiaolong Wang Bozhi Liu Guoping Qiu OOD AAML 43 8 0 10 May 2020
Projection & Probability-Driven Black-Box Attack Jie Li Rongrong Ji Hong Liu Jianzhuang Liu Bineng Zhong Cheng Deng Q. Tian AAML 19 49 0 08 May 2020
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability Nathan Inkawhich Kevin J Liang Binghui Wang Matthew J. Inkawhich Lawrence Carin Yiran Chen AAML 11 86 0 29 Apr 2020
Towards Transferable Adversarial Attack against Deep Face Recognition Yaoyao Zhong Weihong Deng AAML 11 155 0 13 Apr 2020
Luring of transferable adversarial perturbations in the black-box paradigm Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML 23 2 0 10 Apr 2020
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks Zain Khan Jirong Yi R. Mudumbai Xiaodong Wu Weiyu Xu AAML MLAU 22 1 0 26 Mar 2020
Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study Luan Nguyen Sunpreet S. Arora Yuhang Wu Hao Yang AAML 9 88 0 24 Mar 2020
Towards Face Encryption by Generating Adversarial Identity Masks Xiao Yang Yinpeng Dong Tianyu Pang Hang Su Jun Zhu YueFeng Chen H. Xue AAML PICV 37 72 0 15 Mar 2020
Adversarial Ranking Attack and Defense Mo Zhou Zhenxing Niu Le Wang Qilin Zhang G. Hua 36 38 0 26 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 14 310 0 14 Feb 2020
Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection Quanyu Liao Xin Wang Bin Kong Siwei Lyu Youbing Yin Qi Song Xi Wu AAML 20 8 0 10 Feb 2020
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks Qing Guo Felix Juefei Xu Xiaofei Xie L. Ma Jian-Xun Wang Bing Yu Wei Feng Yang Liu AAML 30 16 0 10 Feb 2020
HRFA: High-Resolution Feature-based Attack Jia Cai Sizhe Chen Peidong Zhang Chengjin Sun Xiaolin Huang AAML 27 0 0 21 Jan 2020