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1812.03413
Cited By
Learning Transferable Adversarial Examples via Ghost Networks
9 December 2018
Yingwei Li
S. Bai
Yuyin Zhou
Cihang Xie
Zhishuai Zhang
Alan Yuille
AAML
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Papers citing
"Learning Transferable Adversarial Examples via Ghost Networks"
33 / 33 papers shown
Title
A Simple DropConnect Approach to Transfer-based Targeted Attack
Tongrui Su
Qingbin Li
Shengyu Zhu
Wei Chen
Xueqi Cheng
AAML
69
0
0
24 Apr 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
Mohamed Djilani
Salah Ghamizi
Maxime Cordy
43
0
0
31 Dec 2024
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
136
0
0
13 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack
Wei Yao
Zeliang Zhang
Huayi Tang
Yong Liu
33
2
0
09 Oct 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification
Yuan Bian
Min Liu
Xueping Wang
Yunfeng Ma
Yaonan Wang
AAML
OOD
65
1
0
06 Sep 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
Bo Yang
Hengwei Zhang
Jin-dong Wang
Yulong Yang
Chenhao Lin
Chao Shen
Zhengyu Zhao
SILM
AAML
71
2
0
27 Feb 2024
Continual Adversarial Defense
Qian Wang
Yaoyao Liu
Hefei Ling
Yingwei Li
Qihao Liu
Ping Li
AAML
64
3
0
15 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
68
3
0
20 Nov 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation
Kunyu Wang
Xu He
Wenxuan Wang
Xiaosen Wang
AAML
31
36
0
20 Aug 2023
Backpropagation Path Search On Adversarial Transferability
Zhuoer Xu
Zhangxuan Gu
Jianping Zhang
Shiwen Cui
Changhua Meng
Weiqiang Wang
AAML
38
5
0
15 Aug 2023
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
Diversifying the High-level Features for better Adversarial Transferability
Zhiyuan Wang
Zeliang Zhang
Siyuan Liang
Xiaosen Wang
AAML
46
18
0
20 Apr 2023
Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model
Dingcheng Yang
Wenjian Yu
Zihao Xiao
Jiaqi Luo
AAML
DiffM
21
5
0
14 Apr 2023
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability
Martin Gubri
Maxime Cordy
Yves Le Traon
AAML
20
3
1
05 Apr 2023
Improving Fast Adversarial Training with Prior-Guided Knowledge
Xiaojun Jia
Yong Zhang
Xingxing Wei
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
34
26
0
01 Apr 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
Huanran Chen
Yichi Zhang
Yinpeng Dong
Xiao Yang
Hang Su
Junyi Zhu
AAML
28
56
0
16 Mar 2023
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
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
AAML
31
35
0
10 Feb 2023
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
41
2
0
03 Jan 2023
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Zhengyu Zhao
Hanwei Zhang
Renjue Li
R. Sicre
Laurent Amsaleg
Michael Backes
AAML
27
20
0
17 Nov 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning
Hung-Jui Wang
Yuehua Wu
Shang-Tse Chen
AAML
24
2
0
18 Aug 2022
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity
Martin Gubri
Maxime Cordy
Mike Papadakis
Yves Le Traon
Koushik Sen
AAML
35
51
0
26 Jul 2022
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
30
21
0
09 Mar 2022
Adaptive Image Transformations for Transfer-based Adversarial Attack
Zheng Yuan
Jie Zhang
Shiguang Shan
OOD
24
25
0
27 Nov 2021
Adversarial Examples on Segmentation Models Can be Easy to Transfer
Jindong Gu
Hengshuang Zhao
Volker Tresp
Philip Torr
AAML
41
14
0
22 Nov 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Cho-Jui Hsieh
AAML
15
18
0
05 Sep 2021
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
35
122
0
21 Dec 2020
Transferable Universal Adversarial Perturbations Using Generative Models
Atiyeh Hashemi
Andreas Bär
S. Mozaffari
Tim Fingscheidt
AAML
27
17
0
28 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Wang
Jie Ren
Shuyu Lin
Xiangming Zhu
Yisen Wang
Quanshi Zhang
AAML
29
94
0
08 Oct 2020
Adversarial Example Games
A. Bose
Gauthier Gidel
Hugo Berrard
Andre Cianflone
Pascal Vincent
Simon Lacoste-Julien
William L. Hamilton
AAML
GAN
33
51
0
01 Jul 2020
Efficient Adversarial Training with Transferable Adversarial Examples
Haizhong Zheng
Ziqi Zhang
Juncheng Gu
Honglak Lee
A. Prakash
AAML
24
108
0
27 Dec 2019
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,842
0
08 Jul 2016
1