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v1v2 (latest)

Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks

6 April 2022
Xuechun Han
Anmin Liu
Yifeng Xiong
Yanbo Fan
Kun He
    AAML
ArXiv (abs)PDFHTML

Papers citing "Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks"

4 / 4 papers shown
Title
GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided
  Adversarial Data Transformation
GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided Adversarial Data Transformation
Yating Ma
Xiaogang Xu
Liming Fang
Zhe Liu
AAML
57
1
0
24 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections"
On the Adversarial Transferability of Generalized "Skip Connections"
Yisen Wang
Yichuan Mo
Dongxian Wu
Mingjie Li
Xingjun Ma
Zhouchen Lin
AAML
72
2
0
11 Oct 2024
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
Ziqi Zhou
Minghui Li
Wei Liu
Shengshan Hu
Yechao Zhang
Wei Wan
Lulu Xue
Leo Yu Zhang
Dezhong Yao
Hai Jin
SILMAAML
114
11
0
16 Mar 2024
Improving Adversarial Transferability with Scheduled Step Size and Dual
  Example
Improving Adversarial Transferability with Scheduled Step Size and Dual Example
Zeliang Zhang
Peihan Liu
Xiaosen Wang
Chenliang Xu
AAML
64
3
0
30 Jan 2023
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