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Towards Understanding and Boosting Adversarial Transferability from a
  Distribution Perspective

Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective

9 October 2022
Yao Zhu
YueFeng Chen
Xiaodan Li
Kejiang Chen
Yuan He
Xiang Tian
Bo Zheng
Yao-wu Chen
Qingming Huang
    AAML
ArXivPDFHTML

Papers citing "Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective"

15 / 15 papers shown
Title
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
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
Zhe Chen
Jun Luo
AAML
26
0
0
11 May 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
Xuzhao Li
113
0
0
13 Oct 2024
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
Boming Miao
Chunxiao Li
Yao Zhu
Weixiang Sun
Zizhe Wang
Xiaoyi Wang
Chuanlong Xie
DiffM
AAML
34
1
0
11 Sep 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification
Learning to Learn Transferable Generative Attack for Person Re-Identification
Yuan Bian
Min Liu
Xueping Wang
Yunfeng Ma
Yaonan Wang
AAML
OOD
60
1
0
06 Sep 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation
Attacking Transformers with Feature Diversity Adversarial Perturbation
Chenxing Gao
Hang Zhou
Junqing Yu
Yuteng Ye
Jiale Cai
Junle Wang
Wei Yang
AAML
32
3
0
10 Mar 2024
Latent Code Augmentation Based on Stable Diffusion for Data-free
  Substitute Attacks
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks
Mingwen Shao
Lingzhuang Meng
Yuanjian Qiao
Lixu Zhang
W. Zuo
DiffM
29
0
0
24 Jul 2023
Towards Generic and Controllable Attacks Against Object Detection
Towards Generic and Controllable Attacks Against Object Detection
Guopeng Li
Yue Xu
Jian Ding
Guisong Xia
AAML
34
6
0
23 Jul 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial
  Transferability from Surrogate Training
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training
Yechao Zhang
Shengshan Hu
Leo Yu Zhang
Junyu Shi
Minghui Li
Xiaogeng Liu
Wei Wan
Hai Jin
AAML
22
21
0
15 Jul 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
On the Importance of Gradients for Detecting Distributional Shifts in
  the Wild
On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang
Andrew Geng
Yixuan Li
195
328
0
01 Oct 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
78
192
0
31 Jan 2021
Study of Pre-processing Defenses against Adversarial Attacks on
  State-of-the-art Speaker Recognition Systems
Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems
Sonal Joshi
Jesús Villalba
Piotr Żelasko
Laureano Moro Velázquez
Najim Dehak
AAML
32
31
0
22 Jan 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
261
36,371
0
25 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
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