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

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

23 June 2020
Jinghui Chen
Quanquan Gu
    AAML
ArXivPDFHTML

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

38 / 38 papers shown
Title
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
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
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
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
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
63
8
0
01 Aug 2024
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement
  Learning Agents
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
Ethan Rathbun
Christopher Amato
Alina Oprea
OffRL
AAML
46
4
0
30 May 2024
ADAPT to Robustify Prompt Tuning Vision Transformers
ADAPT to Robustify Prompt Tuning Vision Transformers
Masih Eskandar
Tooba Imtiaz
Zifeng Wang
Jennifer Dy
VPVLM
VLM
AAML
38
0
0
19 Mar 2024
DTA: Distribution Transform-based Attack for Query-Limited Scenario
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
Fast Certification of Vision-Language Models Using Incremental
  Randomized Smoothing
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing
Ashutosh Nirala
Ameya Joshi
Chinmay Hegde
S Sarkar
VLM
36
0
0
15 Nov 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models
  Against Adversarial Attacks
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
CGBA: Curvature-aware Geometric Black-box Attack
Md. Farhamdur Reza
A. Rahmati
Tianfu Wu
H. Dai
AAML
22
17
0
06 Aug 2023
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
L. Halmosi
Márk Jelasity
AAML
VLM
39
1
0
25 Jun 2023
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic
  Adversarial Training
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training
Fan Liu
Weijiao Zhang
Haowen Liu
AI4TS
OOD
18
9
0
25 Jun 2023
Randomized Adversarial Training via Taylor Expansion
Randomized Adversarial Training via Taylor Expansion
Gao Jin
Xinping Yi
Dengyu Wu
Ronghui Mu
Xiaowei Huang
AAML
44
34
0
19 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Yuguang Yao
Jiancheng Liu
Yifan Gong
Xiaoming Liu
Yanzhi Wang
X. Lin
Sijia Liu
AAML
MLAU
29
1
0
13 Mar 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
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
Generalizable Black-Box Adversarial Attack with Meta Learning
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
Understanding the Vulnerability of Skeleton-based Human Activity
  Recognition via Black-box Attack
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
42
7
0
21 Nov 2022
Universal Distributional Decision-based Black-box Adversarial Attack
  with Reinforcement Learning
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
Adversarial Purification with the Manifold Hypothesis
Adversarial Purification with the Manifold Hypothesis
Zhaoyuan Yang
Zhiwei Xu
Jing Zhang
Richard I. Hartley
Peter Tu
AAML
24
5
0
26 Oct 2022
Scaling Adversarial Training to Large Perturbation Bounds
Scaling Adversarial Training to Large Perturbation Bounds
Sravanti Addepalli
Samyak Jain
Gaurang Sriramanan
R. Venkatesh Babu
AAML
33
22
0
18 Oct 2022
Removing Batch Normalization Boosts Adversarial Training
Removing Batch Normalization Boosts Adversarial Training
Haotao Wang
Aston Zhang
Shuai Zheng
Xingjian Shi
Mu Li
Zhangyang Wang
40
41
0
04 Jul 2022
A Survey of Robust Adversarial Training in Pattern Recognition:
  Fundamental, Theory, and Methodologies
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
54
72
0
26 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce
Sven Gowal
T. Brunner
Evan Shelhamer
Matthias Hein
A. Cemgil
TTA
AAML
181
68
0
28 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Tianyu Pang
Min Lin
Xiao Yang
Junyi Zhu
Shuicheng Yan
30
119
0
21 Feb 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep
  Learning Models
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models
Viet Vo
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
30
14
0
31 Jan 2022
Scale-Invariant Adversarial Attack for Evaluating and Enhancing
  Adversarial Defenses
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
Mengting Xu
Tao Zhang
Zhongnian Li
Daoqiang Zhang
AAML
38
1
0
29 Jan 2022
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
212
345
0
15 Dec 2021
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical
  Pretrained Models Against Adversarial Attack
MedRDF: A Robust and Retrain-Less Diagnostic Framework for Medical Pretrained Models Against Adversarial Attack
Mengting Xu
Tao Zhang
Daoqiang Zhang
AAML
MedIm
21
23
0
29 Nov 2021
Label Noise in Adversarial Training: A Novel Perspective to Study Robust
  Overfitting
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
Chengyu Dong
Liyuan Liu
Jingbo Shang
NoLa
AAML
61
18
0
07 Oct 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks
Reveal of Vision Transformers Robustness against Adversarial Attacks
Ahmed Aldahdooh
W. Hamidouche
Olivier Déforges
ViT
15
57
0
07 Jun 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and
  Solutions
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
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
32
10
0
18 Apr 2021
On the Robustness of Vision Transformers to Adversarial Examples
On the Robustness of Vision Transformers to Adversarial Examples
Kaleel Mahmood
Rigel Mahmood
Marten van Dijk
ViT
33
218
0
31 Mar 2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial
  Attack
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
RoBIC: A benchmark suite for assessing classifiers robustness
RoBIC: A benchmark suite for assessing classifiers robustness
Thibault Maho
Benoît Bonnet
Teddy Furon
Erwan Le Merrer
AAML
27
4
0
10 Feb 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
234
680
0
19 Oct 2020
Beware the Black-Box: on the Robustness of Recent Defenses to
  Adversarial Examples
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples
Kaleel Mahmood
Deniz Gurevin
Marten van Dijk
Phuong Ha Nguyen
AAML
25
22
0
18 Jun 2020
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng
Simranjit Singh
Patrick H. Chen
Pin-Yu Chen
Sijia Liu
Cho-Jui Hsieh
AAML
129
219
0
24 Sep 2019
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,847
0
08 Jul 2016
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