Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization

16 May 2019

Papers citing "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization"

22 / 22 papers shown

Title
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks Yue Gao Ilia Shumailov Kassem Fawaz AAML 140 0 0 21 Feb 2025
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics Alexander Gushchin Khaled Abud Georgii Bychkov E. Shumitskaya Anna Chistyakova Sergey Lavrushkin Bader Rasheed Kirill Malyshev D. Vatolin Anastasia Antsiferova AAML 46 2 0 02 Aug 2024
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks Zhiyuan Cheng Zhaoyi Liu Tengda Guo Shiwei Feng Dongfang Liu Mingjie Tang Xiangyu Zhang AAML 36 3 0 01 Apr 2024
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks Roey Bokobza Yisroel Mirsky AAML 30 0 0 14 Mar 2024
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks Jialai Wang Ziyuan Zhang Meiqi Wang Han Qiu Tianwei Zhang Qi Li Zongpeng Li Tao Wei Chao Zhang AAML 22 20 0 27 Feb 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
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks Han-Ching Wu Sareh Rowlands Johan Wahlstrom MLAU AAML 28 0 0 28 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 20 5 0 20 Sep 2022
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation Wei Yan Yeqiang Qian Chunxiang Wang Ming Yang 34 17 0 23 Aug 2022
On the Role of Generalization in Transferability of Adversarial Examples Yilin Wang Farzan Farnia AAML 24 10 0 18 Jun 2022
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack Zeyu Dai Shengcai Liu Jiaheng Zhang Qing Li AAML 24 11 0 04 Jun 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy Nicholas A. Lord Romain Mueller Luca Bertinetto AAML MLAU 19 24 0 16 Mar 2022
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks Maksym Yatsura J. H. Metzen Matthias Hein OOD 26 14 0 02 Nov 2021
On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars Chun Tao Deboleena Roy I. Chakraborty Kaushik Roy AAML 24 2 0 19 Sep 2021
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients Alessandro Cappelli Julien Launay Laurent Meunier Ruben Ohana Iacopo Poli AAML 16 4 0 06 Jul 2021
Random Noise Defense Against Query-Based Black-Box Attacks Zeyu Qin Yanbo Fan H. Zha Baoyuan Wu AAML 19 59 0 23 Apr 2021
Adversarial Attacks on Binary Image Recognition Systems Eric Balkanski Harrison W. Chase Kojin Oshiba Alexander Rilee Yaron Singer Richard Wang AAML 39 4 0 22 Oct 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 39 48 0 02 Sep 2020
Towards Visual Distortion in Black-Box Attacks Nannan Li Zhenzhong Chen 16 12 0 21 Jul 2020
Black-box Adversarial Attacks with Bayesian Optimization Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML MLAU 11 30 0 30 Sep 2019
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks Maksym Andriushchenko Matthias Hein 20 61 0 08 Jun 2019