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2401.06031
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GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model
11 January 2024
Zhiyu Zhu
Huaming Chen
Xinyi Wang
Jiayu Zhang
Zhibo Jin
Kim-Kwang Raymond Choo
Jun Shen
Dong Yuan
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Papers citing
"GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model"
6 / 6 papers shown
Title
Improving the Transferability of Adversarial Attacks by an Input Transpose
Qing Wan
Shilong Deng
Xun Wang
AAML
34
0
0
02 Mar 2025
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Chenyu Zhang
Jiahao Huang
Jianlong Zhou
Fang Chen
AAML
29
0
0
22 Aug 2024
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Xinyi Wang
Yiyun Huang
Huaming Chen
AAML
32
1
0
22 Aug 2024
Benchmarking Transferable Adversarial Attacks
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Huaming Chen
AAML
24
4
0
01 Feb 2024
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,447
0
21 Nov 2016
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
39,194
0
01 Sep 2014
1