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A Survey on Transferability of Adversarial Examples across Deep Neural Networks
26 October 2023
Jindong Gu
Xiaojun Jia
Pau de Jorge
Wenqain Yu
Xinwei Liu
A. Ma
Yuan Xun
Anjun Hu
Ashkan Khakzar
Zhijiang Li
Xiaochun Cao
Philip Torr
AAML
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Papers citing
"A Survey on Transferability of Adversarial Examples across Deep Neural Networks"
7 / 7 papers shown
Title
Light as Deception: GPT-driven Natural Relighting Against Vision-Language Pre-training Models
Ying Yang
Jie Zhang
Xiao Lv
Di Lin
Tao Xiang
Qing Guo
AAML
VLM
31
0
0
30 May 2025
Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models
Xiaojun Jia
Sensen Gao
Simeng Qin
Ke Ma
Xianrui Li
Yihao Huang
Wei Dong
Yang Liu
Xiaochun Cao
AAML
VLM
118
2
0
17 Mar 2025
S
4
^4
4
ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
Yongxiang Liu
Bowen Peng
Li Liu
Xuzhao Li
377
0
0
13 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack
Wei Yao
Zeliang Zhang
Huayi Tang
Yong Liu
110
3
0
09 Oct 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
240
1
0
21 Jun 2024
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation
Bangyan He
Xiaojun Jia
Siyuan Liang
Tianrui Lou
Yang Liu
Xiaochun Cao
AAML
VLM
107
29
0
08 Dec 2023
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
194
601
0
31 Oct 2017
1