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 / 75 papers shown

Title
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation Yi Yu Song Xia Xun Lin Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex C. Kot AAML SILM 190 0 0 20 Apr 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks Yue Gao Ilia Shumailov Kassem Fawaz AAML 148 0 0 21 Feb 2025
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning Xin Wang Kai-xiang Chen Xingjun Ma Zhineng Chen Jingjing Chen Yu-Gang Jiang AAML 46 4 0 04 Aug 2024
$L_p$ -norm Distortion-Efficient Adversarial Attack Chao Zhou Yuan-Gen Wang Zi-Jia Wang Xiangui Kang 37 0 0 03 Jul 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency Zhun Zhang Yi Zeng Qihe Liu Shijie Zhou AAML 39 0 0 16 Apr 2024
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan Oseledets AAML 38 0 0 25 Jan 2024
Robustness Verification for Knowledge-Based Logic of Risky Driving Scenes Xia Wang Anda Liang Jonathan Sprinkle Taylor T. Johnson 24 4 0 27 Dec 2023
Evading Detection Actively: Toward Anti-Forensics against Forgery Localization Long Zhuo Shenghai Luo Shunquan Tan Han Chen Bin Li Jiwu Huang AAML 32 0 0 16 Oct 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks Yang Wang B. Dong Ke Xu Haiyin Piao Yufei Ding Baocai Yin Xin Yang AAML 39 3 0 10 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 40 16 0 01 Oct 2023
CGBA: Curvature-aware Geometric Black-box Attack Md. Farhamdur Reza A. Rahmati Tianfu Wu H. Dai AAML 22 16 0 06 Aug 2023
Adversarial training for tabular data with attack propagation Tiago Leon Melo Joao Bravo Marco O. P. Sampaio Paolo Romano Hugo Ferreira João Tiago Ascensão P. Bizarro AAML 27 1 0 28 Jul 2023
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives Daniele Lunghi A. Simitsis O. Caelen Gianluca Bontempi AAML FaML 40 4 0 03 Jul 2023
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation Geunhyeok Yu Minwoo Jeon Hyoseok Hwang AAML 24 1 0 09 Mar 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 37 3 0 30 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 44 2 0 03 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 29 27 0 01 Jan 2023
Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning Brian Testa Yi Xiao Harshit Sharma Avery Gump Asif Salekin AAML 27 7 0 17 Nov 2022
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning Yiran Huang Yexu Zhou Michael Hefenbrock T. Riedel Likun Fang Michael Beigl AAML 24 3 0 15 Nov 2022
Object-Attentional Untargeted Adversarial Attack Chao Zhou Yuan-Gen Wang Guopu Zhu AAML 21 2 0 16 Oct 2022
DeltaBound Attack: Efficient decision-based attack in low queries regime L. Rossi AAML 12 0 0 01 Oct 2022
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection Simin Li Huangxinxin Xu Jiakai Wang Aishan Liu Fazhi He Xianglong Liu Dacheng Tao AAML 26 5 0 23 Aug 2022
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking Xiangyu Yin Wenjie Ruan J. Fieldsend AAML 38 28 0 17 Jul 2022
On the Role of Generalization in Transferability of Adversarial Examples Yilin Wang Farzan Farnia AAML 24 10 0 18 Jun 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks Sizhe Chen Zhehao Huang Qinghua Tao Yingwen Wu Cihang Xie X. Huang AAML 110 28 0 24 May 2022
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees Binghui Wang Youqin Li Pan Zhou AAML 34 13 0 07 May 2022
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art P. Williams Ke Li AAML 27 2 0 07 Mar 2022
MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest Shucen Ma Jianqi Shi Yanhong Huang Shengchao Qin Zhe Hou AAML 24 4 0 25 Feb 2022
Boundary Defense Against Black-box Adversarial Attacks Manjushree B. Aithal Xiaohua Li AAML 21 6 0 31 Jan 2022
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines Yuxuan Zhang B. Dong Felix Heide AAML 26 8 0 16 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack Xiaosen Wang Zeliang Zhang Kangheng Tong Dihong Gong Kun He Zhifeng Li Wei Liu AAML 24 56 0 13 Dec 2021
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare Muchao Ye Junyu Luo Guanjie Zheng Cao Xiao Ting Wang Fenglong Ma AAML 26 3 0 11 Dec 2021
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 17 9 0 10 Dec 2021
Adaptive Perturbation for Adversarial Attack Zheng Yuan Jie Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 27 3 0 27 Nov 2021
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information Baolin Zheng Peipei Jiang Qian Wang Qi Li Chao Shen Cong Wang Yunjie Ge Qingyang Teng Shenyi Zhang AAML 18 69 0 19 Oct 2021
Certifying Robustness to Programmable Data Bias in Decision Trees Anna P. Meyer Aws Albarghouthi Loris Dántoni 27 21 0 08 Oct 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack Yunxiao Qin Yuanhao Xiong Jinfeng Yi Cho-Jui Hsieh AAML 15 18 0 05 Sep 2021
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks Jiaming Mu Binghui Wang Qi Li Kun Sun Mingwei Xu Zhuotao Liu AAML 23 34 0 21 Aug 2021
Meta Gradient Adversarial Attack Zheng Yuan Jie Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 49 78 0 09 Aug 2021
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
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking Zhenbang Li Yaya Shi Jin Gao Shaoru Wang Bing Li Pengpeng Liang Weiming Hu AAML 39 26 0 06 May 2021
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 52 10 0 22 Apr 2021
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems Yue Gao Ilia Shumailov Kassem Fawaz AAML 27 10 0 18 Apr 2021
Combating Adversaries with Anti-Adversaries Motasem Alfarra Juan C. Pérez Ali K. Thabet Adel Bibi Philip Torr Guohao Li AAML 34 26 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
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 19 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 14 5 0 23 Feb 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Muhammad Shafique Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 81 100 0 04 Jan 2021