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Delving into Transferable Adversarial Examples and Black-box Attacks

8 November 2016

Papers citing "Delving into Transferable Adversarial Examples and Black-box Attacks"

50 / 928 papers shown

Title
Transferable Perturbations of Deep Feature Distributions Nathan Inkawhich Kevin J. Liang Lawrence Carin Yiran Chen AAML 73 87 0 27 Apr 2020
Single-step Adversarial training with Dropout Scheduling S. VivekB. R. Venkatesh Babu OOD AAML 65 73 0 18 Apr 2020
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions Jon Vadillo Roberto Santana Jose A. Lozano AAML 51 0 0 14 Apr 2020
Adversarial Robustness Guarantees for Random Deep Neural Networks Giacomo De Palma B. Kiani S. Lloyd AAML OOD 51 8 0 13 Apr 2020
Towards Transferable Adversarial Attack against Deep Face Recognition Yaoyao Zhong Weihong Deng AAML 105 162 0 13 Apr 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning Chenglin Yang Adam Kortylewski Cihang Xie Yinzhi Cao Alan Yuille AAML 79 109 0 12 Apr 2020
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking Hongjun Wang Guangrun Wang Ya Li Dongyu Zhang Liang Lin AAML 62 85 0 08 Apr 2020
Evading Deepfake-Image Detectors with White- and Black-Box Attacks Nicholas Carlini Hany Farid AAML 79 150 0 01 Apr 2020
Adversarial Imitation Attack Mingyi Zhou Jing Wu Yipeng Liu Xiaolin Huang Shuaicheng Liu Xiang Zhang Ce Zhu AAML 39 0 0 28 Mar 2020
DaST: Data-free Substitute Training for Adversarial Attacks Mingyi Zhou Jing Wu Yipeng Liu Shuaicheng Liu Ce Zhu 84 145 0 28 Mar 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 51 1 0 26 Mar 2020
Defense Through Diverse Directions Christopher M. Bender Yang Li Yifeng Shi Michael K. Reiter Junier B. Oliva AAML 51 4 0 24 Mar 2020
Architectural Resilience to Foreground-and-Background Adversarial Noise Carl Cheng Evan Hu AAML 23 0 0 23 Mar 2020
Quantum noise protects quantum classifiers against adversaries Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao Nana Liu AAML 78 112 0 20 Mar 2020
Face-Off: Adversarial Face Obfuscation Varun Chandrasekaran Chuhan Gao Brian Tang Kassem Fawaz S. Jha Suman Banerjee PICV 81 44 0 19 Mar 2020
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition C. Duong Thanh-Dat Truong Kha Gia Quach Hung Bui Kaushik Roy Khoa Luu CVBM 72 54 0 16 Mar 2020
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks Y. Tashiro Yang Song Stefano Ermon AAML 81 13 0 15 Mar 2020
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation Xiaogang Xu Hengshuang Zhao Jiaya Jia AAML 49 40 0 14 Mar 2020
When are Non-Parametric Methods Robust? Robi Bhattacharjee Kamalika Chaudhuri AAML 89 27 0 13 Mar 2020
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems Jiangnan Li Yingyuan Yang Jinyuan Stella Sun K. Tomsovic Jin Young Lee AAML 117 55 0 12 Mar 2020
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers Wei Song Xuezixiang Li Sadia Afroz D. Garg Dmitry Kuznetsov Heng Yin AAML 117 27 0 06 Mar 2020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training Bai Li Shiqi Wang Yunhan Jia Yantao Lu Zhenyu Zhong Lawrence Carin Suman Jana AAML 142 14 0 06 Mar 2020
Search Space of Adversarial Perturbations against Image Filters D. D. Thang Toshihiro Matsui AAML 31 1 0 05 Mar 2020
A Closer Look at Accuracy vs. Robustness Yao-Yuan Yang Cyrus Rashtchian Hongyang R. Zhang Ruslan Salakhutdinov Kamalika Chaudhuri OOD 145 26 0 05 Mar 2020
Colored Noise Injection for Training Adversarially Robust Neural Networks Evgenii Zheltonozhskii Chaim Baskin Yaniv Nemcovsky Brian Chmiel A. Mendelson A. Bronstein AAML 32 5 0 04 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 129 67 0 02 Mar 2020
Adversarial Ranking Attack and Defense Mo Zhou Zhenxing Niu Le Wang Qilin Zhang G. Hua 150 39 0 26 Feb 2020
Temporal Sparse Adversarial Attack on Sequence-based Gait Recognition Ziwen He Wei Wang Jing Dong Tieniu Tan AAML 80 25 0 22 Feb 2020
Fawkes: Protecting Privacy against Unauthorized Deep Learning Models Shawn Shan Emily Wenger Jiayun Zhang Huiying Li Haitao Zheng Ben Y. Zhao PICV MU 86 24 0 19 Feb 2020
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems Ryan Feng Neal Mangaokar Jiefeng Chen Earlence Fernandes S. Jha Atul Prakash OOD AAML 43 11 0 17 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 105 314 0 14 Feb 2020
Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks Lu Chen Wenyuan Xu AAML 44 21 0 08 Feb 2020
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness Ting-Wu Chin Cha Zhang Diana Marculescu AAML 26 1 0 07 Feb 2020
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models Yao Deng Xi Zheng Tianyi Zhang Chen Chen Guannan Lou Miryung Kim AAML 59 143 0 06 Feb 2020
Defending Adversarial Attacks via Semantic Feature Manipulation Shuo Wang Tianle Chen Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen AAML 51 7 0 03 Feb 2020
Regularizers for Single-step Adversarial Training S. VivekB. R. Venkatesh Babu AAML 53 7 0 03 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 91 60 0 30 Jan 2020
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities Zhongruo Wang Krishnakumar Balasubramanian Shiqian Ma Meisam Razaviyayn 85 28 0 22 Jan 2020
GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems Yanmao Man Ming Li Ryan M. Gerdes AAML 83 8 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 112 105 0 16 Jan 2020
Transferability of Adversarial Examples to Attack Cloud-based Image Classifier Service Dou Goodman SILM AAML 72 10 0 08 Jan 2020
Generating Semantic Adversarial Examples via Feature Manipulation Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 81 12 0 06 Jan 2020
Efficient Adversarial Training with Transferable Adversarial Examples Haizhong Zheng Ziqi Zhang Juncheng Gu Honglak Lee A. Prakash AAML 85 109 0 27 Dec 2019
Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball Andrew Elliott Stephen Law Chris Russell AAML 55 4 0 19 Dec 2019
A New Ensemble Method for Concessively Targeted Multi-model Attack Ziwen He Wei Wang Xinsheng Xuan Jing Dong Tieniu Tan AAML 39 2 0 19 Dec 2019
$n$ -ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 46 6 0 19 Dec 2019
DAmageNet: A Universal Adversarial Dataset Sizhe Chen Xiaolin Huang Zhengbao He Chengjin Sun AAML 63 9 0 16 Dec 2019
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance Mahmoud Afifi M. Brown AAML 84 115 0 15 Dec 2019
Potential adversarial samples for white-box attacks Amir Nazemi Paul Fieguth AAML 34 18 0 13 Dec 2019
Appending Adversarial Frames for Universal Video Attack Zhikai Chen Lingxi Xie Shanmin Pang Yong He Qi Tian AAML 70 32 0 10 Dec 2019