Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors

20 July 2018

Papers citing "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"

36 / 86 papers shown

Title
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 44 14 0 06 Nov 2020
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms Rui Zhao AAML 34 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 44 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 18 81 0 21 Oct 2020
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks Anit Kumar Sahu Satya Narayan Shukla J. Zico Kolter AAML 8 1 0 08 Oct 2020
Improving Query Efficiency of Black-box Adversarial Attack Yang Bai Yuyuan Zeng Yong Jiang Yisen Wang Shutao Xia Weiwei Guo AAML MLAU 37 52 0 24 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma L. Chen Junhai Yong MLAU OOD 41 17 0 02 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 42 48 0 02 Sep 2020
Adversarial Eigen Attack on Black-Box Models Linjun Zhou Peng Cui Yinan Jiang Shiqiang Yang AAML 14 12 0 27 Aug 2020
Yet Another Intermediate-Level Attack Qizhang Li Yiwen Guo Hao Chen AAML 24 51 0 20 Aug 2020
Anti-Bandit Neural Architecture Search for Model Defense Hanlin Chen Baochang Zhang Shenjun Xue Xuan Gong Hong Liu Rongrong Ji David Doermann AAML 22 33 0 03 Aug 2020
Towards Visual Distortion in Black-Box Attacks Nannan Li Zhenzhong Chen 30 12 0 21 Jul 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Simon Lacoste-Julien William L. Hamilton AAML GAN 38 51 0 01 Jul 2020
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution Yan Feng Baoyuan Wu Yanbo Fan Li Liu Zhifeng Li Shutao Xia AAML 26 6 0 15 Jun 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack Huichen Li Xiaojun Xu Xiaolu Zhang Shuang Yang Bo-wen Li AAML 21 177 0 28 May 2020
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data Lu Wang Huan Zhang Jinfeng Yi Cho-Jui Hsieh Yuan Jiang AAML 35 12 0 11 May 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning Chenglin Yang Adam Kortylewski Cihang Xie Yinzhi Cao Alan Yuille AAML 45 108 0 12 Apr 2020
DaST: Data-free Substitute Training for Adversarial Attacks Mingyi Zhou Jing Wu Yipeng Liu Shuaicheng Liu Ce Zhu 25 142 0 28 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 18 52 0 16 Mar 2020
GeoDA: a geometric framework for black-box adversarial attacks A. Rahmati Seyed-Mohsen Moosavi-Dezfooli P. Frossard H. Dai MLAU AAML 31 114 0 13 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 72 63 0 02 Mar 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 31 104 0 16 Jan 2020
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes Keane Lucas Mahmood Sharif Lujo Bauer Michael K. Reiter S. Shintre AAML 31 66 0 19 Dec 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength Tao Yu Shengyuan Hu Chuan Guo Wei-Lun Chao Kilian Q. Weinberger AAML 58 101 0 16 Oct 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization Xiangyi Chen Sijia Liu Kaidi Xu Xingguo Li Xue Lin Mingyi Hong David Cox ODL 6 105 0 15 Oct 2019
Black-box Adversarial Attacks with Bayesian Optimization Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML MLAU 14 30 0 30 Sep 2019
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack Minhao Cheng Simranjit Singh Patrick H. Chen Pin-Yu Chen Sijia Liu Cho-Jui Hsieh AAML 134 219 0 24 Sep 2019
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method Pu Zhao Sijia Liu Pin-Yu Chen Nghia Hoang Kaidi Xu B. Kailkhura Xue Lin AAML 27 54 0 26 Jul 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks Ziang Yan Yiwen Guo Changshui Zhang AAML 30 110 0 11 Jun 2019
ML-LOO: Detecting Adversarial Examples with Feature Attribution Puyudi Yang Jianbo Chen Cho-Jui Hsieh Jane-ling Wang Michael I. Jordan AAML 22 101 0 08 Jun 2019
Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction Hosnieh Sattar Katharina Krombholz Gerard Pons-Moll Mario Fritz 3DH 27 3 0 27 May 2019
Thwarting finite difference adversarial attacks with output randomization Haidar Khan Daniel Park Azer Khan B. Yener SILM AAML 35 0 0 23 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain Lei Bu Yuchao Duan Fu Song Zhe Zhao AAML 32 18 0 19 May 2019
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks David J. Miller Zhen Xiang G. Kesidis AAML 19 35 0 12 Apr 2019
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks Kenneth T. Co Luis Muñoz-González Sixte de Maupeou Emil C. Lupu AAML 22 67 0 30 Sep 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,113 0 04 Nov 2016