Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

12 July 2018

Papers citing "Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach"

50 / 196 papers shown

Title
Delving into Data: Effectively Substitute Training for Black-box Attack Wenxuan Wang Bangjie Yin Taiping Yao Li Zhang Yanwei Fu Shouhong Ding Jilin Li Feiyue Huang Xiangyang Xue AAML 60 63 0 26 Apr 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions Jing Wu Mingyi Zhou Ce Zhu Yipeng Liu Mehrtash Harandi Li Li AAML 57 10 0 22 Apr 2021
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems Yue Gao Ilia Shumailov Kassem Fawaz AAML 32 10 0 18 Apr 2021
Adversarial Sticker: A Stealthy Attack Method in the Physical World Xingxing Wei Yingjie Guo Jie Yu AAML 27 115 0 14 Apr 2021
Combating Adversaries with Anti-Adversaries Motasem Alfarra Juan C. Pérez Ali K. Thabet Adel Bibi Philip Torr Guohao Li AAML 34 27 0 26 Mar 2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack Ashkan Esmaeili Marzieh Edraki Nazanin Rahnavard M. Shah Ajmal Mian AAML 35 2 0 19 Mar 2021
Practical Relative Order Attack in Deep Ranking Mo Zhou Le Wang Zhenxing Niu Qilin Zhang Yinghui Xu N. Zheng G. Hua 21 18 0 09 Mar 2021
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples Washington Garcia Pin-Yu Chen S. Jha Scott Clouse Kevin R. B. Butler AAML 28 0 0 04 Mar 2021
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval Xiaodan Li Jinfeng Li YueFeng Chen Shaokai Ye Yuan He Shuhui Wang Hang Su Hui Xue 21 44 0 04 Mar 2021
Non-Singular Adversarial Robustness of Neural Networks Yu-Lin Tsai Chia-Yi Hsu Chia-Mu Yu Pin-Yu Chen AAML OOD 17 5 0 23 Feb 2021
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm Yanhao Jin Tesi Xiao Krishnakumar Balasubramanian 23 5 0 10 Feb 2021
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss Pengrui Quan Ruiming Guo Mani B. Srivastava AAML 16 1 0 31 Jan 2021
Adversarial Attacks On Multi-Agent Communication James Tu Tsun-Hsuan Wang Jingkang Wang S. Manivasagam Mengye Ren R. Urtasun AAML 88 59 0 17 Jan 2021
On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks Junyoung Byun Hyojun Go Changick Kim AAML 140 19 0 13 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Mohamed Bennai Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 81 100 0 04 Jan 2021
Generating Natural Language Attacks in a Hard Label Black Box Setting Rishabh Maheshwary Saket Maheshwary Vikram Pudi AAML 30 103 0 29 Dec 2020
Learning to Initialize Gradient Descent Using Gradient Descent Kartik Ahuja Amit Dhurandhar Kush R. Varshney 8 0 0 22 Dec 2020
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework Pranay Sharma Kaidi Xu Sijia Liu Pin-Yu Chen Xue Lin P. Varshney 9 2 0 21 Dec 2020
Adaptive Verifiable Training Using Pairwise Class Similarity Shiqi Wang Kevin Eykholt Taesung Lee Jiyong Jang Ian Molloy OOD 23 1 0 14 Dec 2020
DSRNA: Differentiable Search of Robust Neural Architectures Ramtin Hosseini Xingyi Yang P. Xie OOD AAML 29 50 0 11 Dec 2020
Practical No-box Adversarial Attacks against DNNs Qizhang Li Yiwen Guo Hao Chen AAML 21 57 0 04 Dec 2020
SurFree: a fast surrogate-free black-box attack Thibault Maho Teddy Furon Erwan Le Merrer AAML 6 87 0 25 Nov 2020
A Black-Box Attack Model for Visually-Aware Recommender Systems Rami Cohen Oren Sar Shalom Dietmar Jannach A. Amir 20 28 0 05 Nov 2020
Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test Zicun Cong Lingyang Chu Yu Yang J. Pei 19 0 0 01 Nov 2020
Deep Neural Mobile Networking Chaoyun Zhang 32 1 0 23 Oct 2020
An Efficient Adversarial Attack for Tree Ensembles Chong Zhang Huan Zhang Cho-Jui Hsieh AAML 8 23 0 22 Oct 2020
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples Yael Mathov Eden Levy Ziv Katzir A. Shabtai Yuval Elovici AAML 31 14 0 07 Oct 2020
Efficient Robust Training via Backward Smoothing Jinghui Chen Yu Cheng Zhe Gan Quanquan Gu Jingjing Liu AAML 24 40 0 03 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 25 262 0 01 Oct 2020
Decision-based Universal Adversarial Attack Jing Wu Mingyi Zhou Shuaicheng Liu Yipeng Liu Ce Zhu AAML 37 13 0 15 Sep 2020
$On $\ell_p$-norm Robustness of Ensemble Stumps and Trees$ On $\ell_p$ -norm Robustness of Ensemble Stumps and Trees Yihan Wang Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh AAML 15 7 0 20 Aug 2020
Black-box Adversarial Sample Generation Based on Differential Evolution Junyu Lin Lei Xu Yingqi Liu Xinming Zhang AAML 14 35 0 30 Jul 2020
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning Jirong Yi R. Mudumbai Weiyu Xu AAML 32 2 0 28 Jul 2020
Adversarial Attacks against Face Recognition: A Comprehensive Study Fatemeh Vakhshiteh A. Nickabadi Raghavendra Ramachandra AAML 20 16 0 22 Jul 2020
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML MLAU BDL 8 95 0 17 Jul 2020
Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels Wenjie Wan Zhaodi Zhang Yiwei Zhu Min Zhang Fu Song AAML 13 8 0 16 Jul 2020
Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML 6 34 0 13 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
Query-Free Adversarial Transfer via Undertrained Surrogates Chris Miller Soroush Vosoughi AAML 14 0 0 01 Jul 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack Jinghui Chen Quanquan Gu AAML 18 137 0 23 Jun 2020
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy Yuankun Zhu Yueqiang Cheng Husheng Zhou Yantao Lu MIACV AAML 39 99 0 23 Jun 2020
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples Kaleel Mahmood Deniz Gurevin Marten van Dijk Phuong Ha Nguyen AAML 25 22 0 18 Jun 2020
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks Nataniel Ruiz Sarah Adel Bargal Stan Sclaroff AAML 17 11 0 11 Jun 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 26 224 0 11 Jun 2020
Evaluations and Methods for Explanation through Robustness Analysis Cheng-Yu Hsieh Chih-Kuan Yeh Xuanqing Liu Pradeep Ravikumar Seungyeon Kim Sanjiv Kumar Cho-Jui Hsieh XAI 17 58 0 31 May 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack Huichen Li Xiaojun Xu Xiaolu Zhang Shuang Yang Bo-wen Li AAML 21 178 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
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa A. Prakash Moinuddin K. Qureshi AAML 32 146 0 06 May 2020
Improved Adversarial Training via Learned Optimizer Yuanhao Xiong Cho-Jui Hsieh AAML 28 30 0 25 Apr 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