Simple Black-box Adversarial Attacks

17 May 2019

Papers citing "Simple Black-box Adversarial Attacks"

50 / 106 papers shown

Title
Anti-Sensing: Defense against Unauthorized Radar-based Human Vital Sign Sensing with Physically Realizable Wearable Oscillators Md Farhan Tasnim Oshim Nigel Doering Bashima Islam Tsui-Wei Weng Tauhidur Rahman 14 0 0 16 May 2025
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection Xia Du Jiajie Zhu Jizhe Zhou Chi-Man Pun Zheng Lin Cong Wu Zhaoyu Chen Jun Luo AAML 26 0 0 11 May 2025
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties Jiaxiang Yi Miguel A. Bessa UD PER UQCV 48 0 0 05 May 2025
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 220 0 0 20 Apr 2025
RDI: An adversarial robustness evaluation metric for deep neural networks based on sample clustering features Jialei Song Xingquan Zuo Feiyang Wang Hai Huang Tianle Zhang AAML 166 0 0 16 Apr 2025
Adversarial Training of Reward Models Alexander Bukharin Haifeng Qian Shengyang Sun Adithya Renduchintala Soumye Singhal Zhilin Wang Oleksii Kuchaiev Olivier Delalleau T. Zhao AAML 32 0 0 08 Apr 2025
GSBA $^K$ : $top$ - $K$ Geometric Score-based Black-box Attack Md. Farhamdur Reza Richeng Jin Tianfu Wu H. Dai AAML 47 0 0 17 Mar 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
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models Amy Rafferty Rishi Ramaesh Ajitha Rajan MedIm AAML 63 0 0 04 Feb 2025
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search Zhaohui Wang Min Zhang Jingran Yang Bojie Shao Min Zhang 56 4 0 31 Dec 2024
Adversarial Attacks on Data Attribution Xinhe Wang Pingbang Hu Junwei Deng Jiaqi W. Ma TDI 68 0 0 09 Sep 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 62 6 0 25 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
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models Hao Fang Jiawei Kong Wenbo Yu Bin Chen Jiawei Li Hao Wu Ke Xu Ke Xu AAML VLM 40 13 0 08 Jun 2024
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings Firuz Juraev Mohammed Abuhamad Eric Chan-Tin George K. Thiruvathukal Tamer Abuhmed AAML 41 0 0 03 May 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
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 41 5 0 08 Apr 2024
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning Naveen Kumar Krishna Mohan Aravind Machiry AAML 42 1 0 05 Apr 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario Renyang Liu Kwok-Yan Lam Wei Zhou Sixing Wu Jun Zhao Dongting Hu Mingming Gong AAML 37 0 0 30 Mar 2024
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks Roey Bokobza Yisroel Mirsky AAML 38 0 0 14 Mar 2024
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan Oseledets AAML 38 0 0 25 Jan 2024
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method Chenxi Yang Yujia Liu Dingquan Li Tingting Jiang 40 6 0 10 Jan 2024
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer Yuxin Cao Ziyu Zhao Xi Xiao Derui Wang Minhui Xue Jin Lu AAML 24 4 0 15 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 18 0 0 12 Dec 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
Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection Weijie Wang Zhengyu Zhao N. Sebe Bruno Lepri AAML 41 2 0 03 Sep 2023
Adversarial Illusions in Multi-Modal Embeddings Tingwei Zhang Rishi Jha Eugene Bagdasaryan Vitaly Shmatikov AAML 34 8 0 22 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 33 36 0 20 Aug 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency Yang Hou Qing Guo Yihao Huang Xiaofei Xie Lei Ma Jianjun Zhao AAML 34 48 0 23 Apr 2023
Ensemble-based Blackbox Attacks on Dense Prediction Zikui Cai Yaoteng Tan Ulugbek S. Kamilov AAML 35 14 0 25 Mar 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 46 21 0 19 Feb 2023
Certified Interpretability Robustness for Class Activation Mapping Alex Gu Tsui-Wei Weng Pin-Yu Chen Sijia Liu Lucani E. Daniel AAML 34 2 0 26 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 34 27 0 01 Jan 2023
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence Han Fang Jiyi Zhang Yupeng Qiu Ke Xu Chengfang Fang E. Chang AAML 33 2 0 31 Dec 2022
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 34 4 0 08 Dec 2022
Adaptive Stochastic Optimisation of Nonconvex Composite Objectives Weijia Shao F. Sivrikaya S. Albayrak 21 0 0 21 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 27 20 0 17 Nov 2022
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks Han-Ching Wu Sareh Rowlands Johan Wahlstrom MLAU AAML 37 0 0 28 Oct 2022
Object-Attentional Untargeted Adversarial Attack Chao Zhou Yuan-Gen Wang Guopu Zhu AAML 21 2 0 16 Oct 2022
Decompiling x86 Deep Neural Network Executables Zhibo Liu Yuanyuan Yuan Shuai Wang Xiaofei Xie Lei Ma AAML 45 13 0 03 Oct 2022
Audit and Improve Robustness of Private Neural Networks on Encrypted Data Jiaqi Xue Lei Xu Lin Chen W. Shi Kaidi Xu Qian Lou AAML 36 5 0 20 Sep 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 Xiaolin Huang AAML 110 28 0 24 May 2022
Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks Xiuxiu Bai Zhe Liu Yao Gao B. Liu Yongqiang Hao 33 1 0 20 May 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 34 3 0 16 May 2022
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients Niklas Hanselmann Katrin Renz Kashyap Chitta Apratim Bhattacharyya Andreas Geiger 29 87 0 28 Apr 2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients Kaidong Li Ziming Zhang Cuncong Zhong Guanghui Wang 3DPC 34 25 0 29 Mar 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy Nicholas A. Lord Romain Mueller Luca Bertinetto AAML MLAU 19 25 0 16 Mar 2022
Shape-invariant 3D Adversarial Point Clouds Qidong Huang Xiaoyi Dong Dongdong Chen Hang Zhou Weiming Zhang Nenghai Yu 3DPC 21 67 0 08 Mar 2022