Papers citing 'RayS: A Ray Searching Method for Hard-label Adversarial Attack'

Title
Sequence-Preserving Dual-FoV Defense for Traffic Sign and Light Recognition in Autonomous Vehicles Abhishek Joshi Jahnavi Krishna Koda Abhishek Phadke AAML 16 0 0 03 Oct 2025
Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors Chen Ma Xinjie Xu Shuyu Cheng Qi Xuan AAML 63 0 0 23 Jul 2025
Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients Li Lun Kunyu Feng Qinglong Ni Ling Liang Yuan Wang Ying Li Dunshan Yu Xiaoxin Cui AAML 181 4 0 05 Mar 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks Yue Gao Ilia Shumailov Kassem Fawaz AAML 258 0 0 21 Feb 2025
ADBM: Adversarial diffusion bridge model for reliable adversarial purification Xiao-Li Li Wenxuan Sun Huanran Chen Qiongxiu Li Yining Liu Yingzhe He Jie Shi Xiaolin Hu AAML 322 17 0 01 Aug 2024
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off L. Halmosi Bálint Mohos Márk Jelasity AAML 100 1 0 12 Jul 2024
ADAPT to Robustify Prompt Tuning Vision Transformers Masih Eskandar Tooba Imtiaz Zifeng Wang Jennifer Dy VPVLM VLM AAML 185 0 0 19 Mar 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 229 13 0 28 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 100 0 0 12 Dec 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 160 0 0 15 Nov 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 187 7 0 26 Oct 2023
Exploring Decision-based Black-box Attacks on Face Forgery Detection Zhaoyu Chen Yue Liu Kaixun Jiang Shuang Wu Shouhong Ding Wenqiang Zhang AAML CVBM 165 1 0 18 Oct 2023
On Evaluating the Adversarial Robustness of Semantic Segmentation Models L. Halmosi Márk Jelasity AAML VLM 168 1 0 25 Jun 2023
How to choose your best allies for a transferable attack? Thibault Maho Seyed-Mohsen Moosavi-Dezfooli Teddy Furon AAML 142 1 0 05 Apr 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 185 45 0 19 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang Xinyu Lin Sijia Liu AAML MLAU 134 1 0 13 Mar 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 135 39 0 01 Jan 2023
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks Xiao-Li Li Ziqi Wang Bo Zhang Gang Hua Xiaolin Hu 121 28 0 04 Dec 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 128 11 0 21 Nov 2022
Adversarial Purification with the Manifold Hypothesis Zhaoyuan Yang Zhiwei Xu Jing Zhang Leonid Sigal Peter Tu AAML 208 8 0 26 Oct 2022
Scaling Adversarial Training to Large Perturbation Bounds Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 143 23 0 18 Oct 2022
Part-Based Models Improve Adversarial Robustness Chawin Sitawarin Kornrapat Pongmala Yizheng Chen Nicholas Carlini David Wagner 166 13 0 15 Sep 2022
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features Taha Belkhouja J. Doppa AAML AI4TS 110 13 0 09 Jul 2022
Removing Batch Normalization Boosts Adversarial Training Haotao Wang Aston Zhang Shuai Zheng Xingjian Shi Mu Li Zhangyang Wang 135 48 0 04 Jul 2022
AdvSmo: Black-box Adversarial Attack by Smoothing Linear Structure of Texture Hui Xia Rui Zhang Shuliang Jiang Zizi Kang AAML 77 0 0 22 Jun 2022
Randomized Smoothing under Attack: How Good is it in Pratice? Thibault Maho Teddy Furon Erwan Le Merrer AAML 107 10 0 28 Apr 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 151 82 0 26 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses Francesco Croce Sven Gowal T. Brunner Evan Shelhamer Matthias Hein A. Cemgil TTA AAML 290 74 0 28 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 210 135 0 21 Feb 2022
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations Weiqi Peng Jinghui Chen AAML 91 5 0 03 Feb 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 158 14 0 31 Jan 2022
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 100 2 0 29 Jan 2022
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems Siyu Wang Yuanjiang Cao Xiaocong Chen Weitong Chen Xianzhi Wang Quan.Z Sheng AAML 87 3 0 02 Dec 2021
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack Mengting Xu Tao Zhang Daoqiang Zhang AAML MedIm 113 28 0 29 Nov 2021
A Review of Adversarial Attack and Defense for Classification Methods Yao Li Minhao Cheng Cho-Jui Hsieh T. C. Lee AAML 118 75 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 196 17 0 15 Nov 2021
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks Kaleel Mahmood Rigel Mahmood Ethan Rathbun Marten van Dijk AAML 102 25 0 29 Sep 2021
Improving Model Robustness with Latent Distribution Locally and Globally Zhuang Qian Shufei Zhang Kaizhu Huang Qiufeng Wang Rui Zhang Xinping Yi AAML 101 15 0 08 Jul 2021
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation Jiawei Zhang Linyi Li Huichen Li Xiaolu Zhang Shuang Yang Yangqiu Song AAML 74 18 0 10 Jun 2021
Attacking Adversarial Attacks as A Defense Boxi Wu Heng Pan Li Shen Jindong Gu Shuai Zhao Zhifeng Li Deng Cai Xiaofei He Wei Liu AAML 109 35 0 09 Jun 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 121 62 0 07 Jun 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang Huishuai Zhang Di He Yinpeng Dong Hang Su Wei Chen Jun Zhu Tie-Yan Liu AAML 85 19 0 31 May 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions Jing Wu Mingyi Zhou Ce Zhu Yipeng Liu Mehrtash Harandi Li Li AAML 145 12 0 22 Apr 2021
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems Yue Gao Ilia Shumailov Kassem Fawaz AAML 180 12 0 18 Apr 2021
On the Robustness of Vision Transformers to Adversarial Examples Kaleel Mahmood Rigel Mahmood Marten van Dijk ViT 232 232 0 31 Mar 2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack Ashkan Esmaeili Marzieh Edraki Nazanin Rahnavard M. Shah Lin Wang AAML 120 2 0 19 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 58 0 0 04 Mar 2021
Voting based ensemble improves robustness of defensive models Devvrit Minhao Cheng Cho-Jui Hsieh Inderjit Dhillon OOD FedML AAML 105 12 0 28 Nov 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 527 753 0 19 Oct 2020
Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu Jinghui Chen Deng Cai Xiaofei He Quanquan Gu AAML 180 101 0 03 Oct 2020