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Understanding Adversarial Examples from the Mutual Influence of Images
  and Perturbations

Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations

13 July 2020
Chaoning Zhang
Philipp Benz
Tooba Imtiaz
In-So Kweon
    SSL
    AAML
ArXivPDFHTML

Papers citing "Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations"

24 / 24 papers shown
Title
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
Hanxun Huang
Sarah Monazam Erfani
Yige Li
Xingjun Ma
James Bailey
AAML
44
0
0
08 May 2025
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers
Elad Sofer
Tomer Shaked
Caroline Chaux
Nir Shlezinger
AAML
45
0
0
26 Apr 2025
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach
Hangyu Liu
Bo Peng
Pengxiang Ding
Donglin Wang
AAML
26
0
0
19 Apr 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Y. Zhang
Yingzhe Xu
Junyu Shi
L. Zhang
Shengshan Hu
Minghui Li
Yanjun Zhang
AAML
51
1
0
17 Mar 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Yixiao Chen
Shikun Sun
Jianshu Li
Ruoyu Li
Zhe Li
Junliang Xing
AAML
104
0
0
04 Feb 2025
S$^4$ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
S4^44ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
Yongxiang Liu
Bowen Peng
Li Liu
X. Li
107
0
0
13 Oct 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Shihua Sun
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
47
1
0
13 Jul 2024
Sparse and Transferable Universal Singular Vectors Attack
Sparse and Transferable Universal Singular Vectors Attack
Kseniia Kuvshinova
Olga Tsymboi
Ivan V. Oseledets
AAML
24
0
0
25 Jan 2024
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
Lijun Sheng
Jian Liang
R. He
Zilei Wang
Tien-Ping Tan
AAML
40
5
0
19 Mar 2023
Object-fabrication Targeted Attack for Object Detection
Object-fabrication Targeted Attack for Object Detection
Xuchong Zhang
Changfeng Sun
Haoliang Han
Hang Wang
Hongbin Sun
Nanning Zheng
AAML
9
0
0
13 Dec 2022
Narcissus: A Practical Clean-Label Backdoor Attack with Limited
  Information
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information
Yi Zeng
Minzhou Pan
H. Just
Lingjuan Lyu
M. Qiu
R. Jia
AAML
20
168
0
11 Apr 2022
Investigating Top-$k$ White-Box and Transferable Black-box Attack
Investigating Top-kkk White-Box and Transferable Black-box Attack
Chaoning Zhang
Philipp Benz
Adil Karjauv
Jae-Won Cho
Kang Zhang
In So Kweon
31
42
0
30 Mar 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Qilong Zhang
Chaoning Zhang
Chaoning Zhang
Chaoqun Li
Xuanhan Wang
Jingkuan Song
Lianli Gao
AAML
25
21
0
09 Mar 2022
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to
  CNNs
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs
Philipp Benz
Soomin Ham
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
ViT
36
78
0
06 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
Boosting Transferability of Targeted Adversarial Examples via
  Hierarchical Generative Networks
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks
Xiao Yang
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
AAML
31
38
0
05 Jul 2021
Adversarial Visual Robustness by Causal Intervention
Adversarial Visual Robustness by Causal Intervention
Kaihua Tang
Ming Tao
Hanwang Zhang
CML
AAML
19
21
0
17 Jun 2021
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese
  Visual Tracking
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
31
26
0
06 May 2021
Universal Adversarial Training with Class-Wise Perturbations
Universal Adversarial Training with Class-Wise Perturbations
Philipp Benz
Chaoning Zhang
Adil Karjauv
In So Kweon
AAML
8
26
0
07 Apr 2021
A Survey On Universal Adversarial Attack
A Survey On Universal Adversarial Attack
Chaoning Zhang
Philipp Benz
Chenguo Lin
Adil Karjauv
Jing Wu
In So Kweon
AAML
21
90
0
02 Mar 2021
On Success and Simplicity: A Second Look at Transferable Targeted
  Attacks
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
24
121
0
21 Dec 2020
Double Targeted Universal Adversarial Perturbations
Double Targeted Universal Adversarial Perturbations
Philipp Benz
Chaoning Zhang
Tooba Imtiaz
In So Kweon
AAML
35
48
0
07 Oct 2020
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
62
230
0
25 May 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
1