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
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 32 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
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition Shuai Jia Bangjie Yin Taiping Yao Shouhong Ding Chunhua Shen Xiaokang Yang Chao Ma AAML CVBM 26 48 0 13 Oct 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Zeyu Qin Yanbo Fan Yi Liu Li Shen Yong Zhang Jue Wang Baoyuan Wu AAML SILM 29 81 0 12 Oct 2022
DeltaBound Attack: Efficient decision-based attack in low queries regime L. Rossi AAML 14 0 0 01 Oct 2022
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies Yinghua Zhang Yangqiu Song Kun Bai Qian Yang AAML 23 1 0 28 Aug 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 28 5 0 23 Aug 2022
Unifying Gradients to Improve Real-world Robustness for Deep Networks Yingwen Wu Sizhe Chen Kun Fang X. Huang AAML 32 3 0 12 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
Optimizing One-pixel Black-box Adversarial Attacks Tianxun Zhou Shubhanka Agrawal Prateek Manocha AAML MLAU 19 3 0 30 Apr 2022
FrequencyLowCut Pooling -- Plug & Play against Catastrophic Overfitting Julia Grabinski Steffen Jung J. Keuper M. Keuper AAML 16 22 0 01 Apr 2022
StyleFool: Fooling Video Classification Systems via Style Transfer Yu Cao Xi Xiao Ruoxi Sun Derui Wang Minhui Xue Sheng Wen AAML 8 25 0 30 Mar 2022
Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition Marie Biolková Bac Nguyen AAML 33 2 0 18 Mar 2022
AdIoTack: Quantifying and Refining Resilience of Decision Tree Ensemble Inference Models against Adversarial Volumetric Attacks on IoT Networks Arman Pashamokhtari Gustavo E. A. P. A. Batista Hassan Habibi Gharakheili AAML 29 9 0 18 Mar 2022
Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection João Vitorino Nuno Oliveira Isabel Praça AAML 27 28 0 08 Mar 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 29 4 0 25 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 47 16 0 15 Feb 2022
Boundary Defense Against Black-box Adversarial Attacks Manjushree B. Aithal Xiaohua Li AAML 21 6 0 31 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes Fangcheng Liu Chaoning Zhang Hongyang R. Zhang AAML 31 20 0 04 Jan 2022
Adaptive Modeling Against Adversarial Attacks Zhiwen Yan Teck Khim Ng AAML 39 0 0 23 Dec 2021
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 29 3 0 11 Dec 2021
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 19 9 0 10 Dec 2021
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications Yongqiang Tian Wuqi Zhang Ming Wen Shing-Chi Cheung Chengnian Sun Shiqing Ma Yu Jiang 29 7 0 06 Dec 2021
Adaptive Perturbation for Adversarial Attack Zheng Yuan Jie Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 27 3 0 27 Nov 2021
A Review of Adversarial Attack and Defense for Classification Methods Yao Li Minhao Cheng Cho-Jui Hsieh T. C. Lee AAML 27 66 0 18 Nov 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks Chen Ma Xiangyu Guo Li Chen Junhai Yong Yisen Wang AAML 28 15 0 15 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
Adversarial Attack across Datasets Yunxiao Qin Yuanhao Xiong Jinfeng Yi Lihong Cao Cho-Jui Hsieh AAML 47 3 0 13 Oct 2021
Certifying Robustness to Programmable Data Bias in Decision Trees Anna P. Meyer Aws Albarghouthi Loris Dántoni 27 21 0 08 Oct 2021
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers H. Yu Shihfeng Zeng Teng Zhang Ing-Chao Lin Yier Jin AAML 41 1 0 22 Sep 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack Yunxiao Qin Yuanhao Xiong Jinfeng Yi Cho-Jui Hsieh AAML 20 18 0 05 Sep 2021
Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models Zeyuan Wang Chaofeng Sha Su Yang AAML 8 14 0 29 Aug 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 31 236 0 01 Aug 2021
Multi-stage Optimization based Adversarial Training Xiaosen Wang Chuanbiao Song Liwei Wang Kun He AAML 22 5 0 26 Jun 2021
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning Shubham Jain Ana-Maria Cretu Yves-Alexandre de Montjoye 11 33 0 17 Jun 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training Qizhou Wang Feng Liu Bo Han Tongliang Liu Chen Gong Gang Niu Mingyuan Zhou Masashi Sugiyama AAML 34 61 0 15 Jun 2021
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model Zehao Wang 16 43 0 07 Jun 2021
BO-DBA: Query-Efficient Decision-Based Adversarial Attacks via Bayesian Optimization Zhuosheng Zhang Shucheng Yu AAML 19 1 0 04 Jun 2021
Adversarial Robustness against Multiple and Single $l_p$ -Threat Models via Quick Fine-Tuning of Robust Classifiers Francesco Croce Matthias Hein OOD AAML 28 18 0 26 May 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
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks Faiq Khalid Muhammad Abdullah Hanif Muhammad Shafique AAML SILM 27 9 0 05 May 2021