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2012.03528
Cited By
Backpropagating Linearly Improves Transferability of Adversarial Examples
7 December 2020
Yiwen Guo
Qizhang Li
Hao Chen
FedML
AAML
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Papers citing
"Backpropagating Linearly Improves Transferability of Adversarial Examples"
50 / 72 papers shown
Disrupting Semantic and Abstract Features for Better Adversarial Transferability
Yuyang Luo
Xiaosen Wang
Zhijin Ge
Yingzhe He
AAML
162
0
0
21 Jul 2025
Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025
Tao Wu
Tie Luo
AAML
375
0
0
26 Mar 2025
Exploring Adversarial Transferability between Kolmogorov-arnold Networks
Songping Wang
Xinquan Yue
Yueming Lyu
Caifeng Shan
AAML
415
3
0
08 Mar 2025
Boosting the Local Invariance for Better Adversarial Transferability
Bohan Liu
Xiaosen Wang
AAML
479
0
0
08 Mar 2025
Improving the Transferability of Adversarial Attacks by an Input Transpose
Qing Wan
Shilong Deng
Xun Wang
AAML
296
0
0
02 Mar 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment
Zhaoyu Chen
Haijing Guo
Kaixun Jiang
Jiyuan Fu
Xinyu Zhou
Jinjie Wei
Hao Tang
Yue Liu
Wenqiang Zhang
AAML
359
1
0
02 Jan 2025
On the Robustness of Distributed Machine Learning against Transfer Attacks
AAAI Conference on Artificial Intelligence (AAAI), 2024
Sébastien Andreina
Pascal Zimmer
Ghassan O. Karame
AAML
OOD
314
0
0
18 Dec 2024
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
Neural Information Processing Systems (NeurIPS), 2024
Fengpeng Li
Kemou Li
Haiwei Wu
Jinyu Tian
Jiantao Zhou
AAML
282
5
0
16 Oct 2024
BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models
Xinyuan Wang
Victor Shea-Jay Huang
Renmiao Chen
Hao Wang
Changzai Pan
Lei Sha
Shiyu Huang
AAML
257
6
0
13 Oct 2024
Network transferability of adversarial patches in real-time object detection
Jens Bayer
Stefan Becker
David Münch
Michael Arens
AAML
220
1
0
28 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
476
2
0
31 Jul 2024
MALT Powers Up Adversarial Attacks
Odelia Melamed
Gilad Yehudai
Adi Shamir
AAML
269
0
0
02 Jul 2024
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
Yaohua Liu
Jiaxin Gao
Xuan Liu
Xianghao Jiao
Xin-Yue Fan
Risheng Liu
310
2
0
04 Jun 2024
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
Qizhang Li
Yiwen Guo
Wangmeng Zuo
Hao Chen
AAML
SILM
240
12
0
28 May 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
Fengfan Zhou
Qianyu Zhou
Hefei Ling
Xuequan Lu
AAML
482
3
0
27 May 2024
Boosting Adversarial Transferability with Low-Cost Optimization via Maximin Expected Flatness
Chunlin Qiu
Ang Li
Yiheng Duan
Shenyi Zhang
Yuanjie Zhang
Lingchen Zhao
Qian Wang
AAML
381
4
0
25 May 2024
Practical Region-level Attack against Segment Anything Models
Yifan Shen
Zhengyuan Li
Gang Wang
VLM
215
21
0
12 Apr 2024
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR
Bowen Peng
Bo Peng
Jingyuan Xia
Tianpeng Liu
Yongxiang Liu
Li Liu
AAML
182
16
0
30 Jan 2024
Rethinking Impersonation and Dodging Attacks on Face Recognition Systems
ACM Multimedia (MM), 2024
Fengfan Zhou
Qianyu Zhou
Bangjie Yin
Hui Zheng
Xuequan Lu
Lizhuang Ma
Heifei Ling
AAML
353
9
0
17 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks
Meixi Zheng
Xuanchen Yan
Zihao Zhu
Hongrui Chen
Baoyuan Wu
ELM
MLAU
AAML
420
17
0
28 Dec 2023
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
Tao Wu
Tie Luo
D. C. Wunsch
243
7
0
20 Dec 2023
Improving Adversarial Transferability via Model Alignment
European Conference on Computer Vision (ECCV), 2023
A. Ma
Amir-massoud Farahmand
Yangchen Pan
Juil Sock
Jindong Gu
AAML
384
9
0
30 Nov 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
Neural Information Processing Systems (NeurIPS), 2023
Qizhang Li
Yiwen Guo
Wangmeng Zuo
Hao Chen
ELM
AAML
285
8
0
02 Nov 2023
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Han Liu
Xingshuo Huang
Xiaotong Zhang
Qimai Li
Fenglong Ma
Wen Wang
Hongyang Chen
Hong Yu
Xianchao Zhang
AAML
215
4
0
29 Oct 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks
Jindong Gu
Yang Liu
Pau de Jorge
Wenqain Yu
Xinwei Liu
...
Anjun Hu
Ashkan Khakzar
Zhijiang Li
Simeng Qin
Juil Sock
AAML
394
50
0
26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya
Anshuman Suri
Tingwei Zhang
Jingtao Hong
Yuan Tian
David Evans
AAML
377
8
0
26 Oct 2023
Structure Invariant Transformation for better Adversarial Transferability
IEEE International Conference on Computer Vision (ICCV), 2023
Xiaosen Wang
Zeliang Zhang
Jianping Zhang
AAML
203
106
0
26 Sep 2023
Improving Robustness of Deep Convolutional Neural Networks via Multiresolution Learning
Hongyan Zhou
Yao Liang
OOD
231
0
0
24 Sep 2023
Backpropagation Path Search On Adversarial Transferability
IEEE International Conference on Computer Vision (ICCV), 2023
Zhuoer Xu
Zhangxuan Gu
Jianping Zhang
Shiwen Cui
Changhua Meng
Weiqiang Wang
AAML
222
5
0
15 Aug 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks
Qizhang Li
Yiwen Guo
Xiaochen Yang
W. Zuo
Hao Chen
AAML
BDL
304
2
0
21 Jul 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Yechao Zhang
Shengshan Hu
Leo Yu Zhang
Junyu Shi
Minghui Li
Xiaogeng Liu
Wei Wan
Hai Jin
AAML
417
31
0
15 Jul 2023
Rethinking the Backward Propagation for Adversarial Transferability
Neural Information Processing Systems (NeurIPS), 2023
Xiaosen Wang
Kangheng Tong
Kun He
AAML
SILM
440
40
0
22 Jun 2023
Reliable Evaluation of Adversarial Transferability
Wenqian Yu
Jindong Gu
Zhijiang Li
Juil Sock
AAML
209
11
0
14 Jun 2023
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature
Juanjuan Weng
Zhiming Luo
Dazhen Lin
Shaozi Li
Zhun Zhong
AAML
FedML
397
8
0
02 May 2023
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples
Chenshuang Zhang
Chaoning Zhang
Taegoo Kang
Donghun Kim
Sung-Ho Bae
In So Kweon
AAML
VLM
199
6
0
01 May 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay
Neural Information Processing Systems (NeurIPS), 2023
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
AAML
352
36
0
26 Apr 2023
StyLess: Boosting the Transferability of Adversarial Examples
Computer Vision and Pattern Recognition (CVPR), 2023
Kaisheng Liang
Bin Xiao
AAML
211
24
0
23 Apr 2023
Improving the Transferability of Adversarial Examples via Direction Tuning
Information Sciences (Inf. Sci.), 2023
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
235
16
0
27 Mar 2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Juanjuan Weng
Zhiming Luo
Zhun Zhong
Shaozi Li
Andrii Zadaianchuk
AAML
190
27
0
07 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
462
32
0
19 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
International Conference on Learning Representations (ICLR), 2023
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
AAML
521
39
0
10 Feb 2023
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
266
2
0
03 Jan 2023
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks
Computer Vision and Pattern Recognition (CVPR), 2022
Anqi Zhao
Tong Chu
Yahao Liu
Wen Li
Jingjing Li
Lixin Duan
AAML
193
26
0
18 Dec 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Subrat Kishore Dutta
Hanwei Zhang
Renjue Li
R. Sicre
Laurent Amsaleg
Michael Backes
AAML
336
22
0
17 Nov 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Neural Information Processing Systems (NeurIPS), 2022
Zeyu Qin
Yanbo Fan
Yi Liu
Li Shen
Yong Zhang
Jue Wang
Baoyuan Wu
AAML
SILM
207
107
0
12 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective
IEEE Transactions on Image Processing (IEEE TIP), 2022
Yao Zhu
YueFeng Chen
Xiaodan Li
Kejiang Chen
Yuan He
Xiang Tian
Bo Zheng
Yao-wu Chen
Qingming Huang
AAML
174
69
0
09 Oct 2022
Multi-step domain adaptation by adversarial attack to
H
Δ
H
\mathcal{H} Δ\mathcal{H}
H
Δ
H
-divergence
Arip Asadulaev
Alexander Panfilov
Andrey Filchenkov
AAML
114
0
0
18 Jul 2022
Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System
Information Sciences (Inf. Sci.), 2022
Jiaming Zhang
Qiaomin Yi
Dongyuan Lu
Jitao Sang
PICV
AAML
CVBM
154
6
0
19 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses
International Conference on Machine Learning (ICML), 2022
Chawin Sitawarin
Zachary Golan-Strieb
David Wagner
AAML
270
25
0
18 Jun 2022
Early Transferability of Adversarial Examples in Deep Neural Networks
Oriel BenShmuel
AAML
100
0
0
09 Jun 2022
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