Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

17 August 2019

Papers citing "Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks"

34 / 284 papers shown

Title
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Feature Importance-aware Transferable Adversarial Attacks Zhibo Wang Hengchang Guo Zhifei Zhang Wenxin Liu Zhan Qin K. Ren AAML 20 207 0 29 Jul 2021
SA-GD: Improved Gradient Descent Learning Strategy with Simulated Annealing Zhicheng Cai 23 4 0 15 Jul 2021
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang Yinpeng Dong Tianyu Pang Hang Su Jun Zhu AAML 38 38 0 05 Jul 2021
On Improving Adversarial Transferability of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Fahad Shahbaz Khan Fatih Porikli ViT 34 93 0 08 Jun 2021
Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout Pengfei Xie Linyuan Wang Ruoxi Qin Kai Qiao S. Shi Guoen Hu Bin Yan AAML 19 7 0 03 Jun 2021
Transferable Sparse Adversarial Attack Ziwen He Wei Wang Jing Dong Tieniu Tan AAML 11 20 0 31 May 2021
Feature Space Targeted Attacks by Statistic Alignment Lianli Gao Yaya Cheng Qilong Zhang Xing Xu Jingkuan Song AAML 24 31 0 25 May 2021
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks Leo Schwinn René Raab A. Nguyen Dario Zanca Bjoern M. Eskofier AAML 14 58 0 21 May 2021
A Perceptual Distortion Reduction Framework: Towards Generating Adversarial Examples with High Perceptual Quality and Attack Success Rate Ruijie Yang Yunhong Wang Ruikui Wang Yuanfang Guo AAML DiffM 16 1 0 01 May 2021
Staircase Sign Method for Boosting Adversarial Attacks Qilong Zhang Xiaosu Zhu Jingkuan Song Lianli Gao Heng Tao Shen AAML 43 13 0 20 Apr 2021
Direction-Aggregated Attack for Transferable Adversarial Examples Tianjin Huang Vlado Menkovski Yulong Pei Yuhao Wang Mykola Pechenizkiy AAML 13 15 0 19 Apr 2021
Enhancing the Transferability of Adversarial Attacks through Variance Tuning Xiaosen Wang Kun He AAML 38 376 0 29 Mar 2021
Boosting Adversarial Transferability through Enhanced Momentum Xiaosen Wang Jiadong Lin Han Hu Jingdong Wang Kun He AAML 14 76 0 19 Mar 2021
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? Nathan Inkawhich Kevin J Liang Jingyang Zhang Huanrui Yang H. Li Yiran Chen AAML 21 5 0 17 Mar 2021
$Measuring the Transferability of $\ell_\infty$ Attacks by the $\ell_2$ Norm$ Measuring the Transferability of $\ell_\infty$ Attacks by the $\ell_2$ Norm Sizhe Chen Qinghua Tao Zhixing Ye Xiaolin Huang 13 0 0 20 Feb 2021
Adversarial example generation with AdaBelief Optimizer and Crop Invariance Bo Yang Hengwei Zhang Yuchen Zhang Kaiyong Xu Jin-dong Wang AAML 17 29 0 07 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 83 193 0 31 Jan 2021
Generalizing Adversarial Examples by AdaBelief Optimizer Yixiang Wang Jiqiang Liu Xiaolin Chang AAML 16 1 0 25 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 16 0 31 Dec 2020
On Success and Simplicity: A Second Look at Transferable Targeted Attacks Zhengyu Zhao Zhuoran Liu Martha Larson AAML 35 122 0 21 Dec 2020
Boosting Adversarial Attacks on Neural Networks with Better Optimizer Heng Yin Hengwei Zhang Jin-dong Wang Ruiyu Dou AAML 27 8 0 01 Dec 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
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks Leo Schwinn An Nguyen René Raab Dario Zanca Bjoern M. Eskofier Daniel Tenbrinck Martin Burger AAML 19 8 0 05 Nov 2020
Relevance Attack on Detectors Sizhe Chen Fan He Xiaolin Huang Kun Zhang AAML 24 16 0 16 Aug 2020
Making Adversarial Examples More Transferable and Indistinguishable Junhua Zou Yexin Duan Xin Liu Junyang Qiu Yu Pan Zhisong Pan AAML 14 31 0 08 Jul 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
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
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie-jin Yang Xiaolin Huang AAML 31 103 0 16 Jan 2020
Robust Local Features for Improving the Generalization of Adversarial Training Chuanbiao Song Kun He Jiadong Lin Liwei Wang J. Hopcroft OOD AAML 6 68 0 23 Sep 2019
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao H. Foroosh AAML 64 264 0 30 Nov 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 291 3,110 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016