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2103.15571
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Enhancing the Transferability of Adversarial Attacks through Variance Tuning
29 March 2021
Xiaosen Wang
Kun He
AAML
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Papers citing
"Enhancing the Transferability of Adversarial Attacks through Variance Tuning"
50 / 192 papers shown
Title
Adversarial Attacks on Video Object Segmentation with Hard Region Discovery
P. Li
Yu Zhang
L. Yuan
Jian Zhao
Xianghua Xu
Xiaoqing Zhang
AAML
VOS
40
11
0
25 Sep 2023
How Robust is Google's Bard to Adversarial Image Attacks?
Yinpeng Dong
Huanran Chen
Jiawei Chen
Zhengwei Fang
X. Yang
Yichi Zhang
Yu Tian
Hang Su
Jun Zhu
AAML
31
102
0
21 Sep 2023
Toward Defensive Letter Design
Rentaro Kataoka
Akisato Kimura
Seiichi Uchida
AAML
8
0
0
04 Sep 2023
Towards Certified Probabilistic Robustness with High Accuracy
Ruihan Zhang
Peixin Zhang
Jun Sun
AAML
21
0
0
02 Sep 2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging
Xiaojun Jia
YueFeng Chen
Xiaofeng Mao
Ranjie Duan
Jindong Gu
Rong Zhang
H. Xue
Xiaochun Cao
AAML
16
9
0
22 Aug 2023
Enhancing Adversarial Attacks: The Similar Target Method
Shuo Zhang
Ziruo Wang
Zikai Zhou
Huanran Chen
AAML
54
1
0
21 Aug 2023
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer
Zhijin Ge
Fanhua Shang
Hongying Liu
Yuanyuan Liu
Liang Wan
Wei Feng
Xiaosen Wang
AAML
38
19
0
21 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation
Kunyu Wang
Xu He
Wenxuan Wang
Xiaosen Wang
AAML
31
36
0
20 Aug 2023
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models
Zhongliang Guo
Weiye Li
Yifei Qian
Ognjen Arandjelovic
Lei Fang
AAML
25
12
0
17 Aug 2023
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
Xuantong Liu
Yaoyao Zhong
Yuhang Zhang
Lixiong Qin
Weihong Deng
AAML
27
25
0
11 Aug 2023
Towards Generic and Controllable Attacks Against Object Detection
Guopeng Li
Yue Xu
Jian Ding
Guisong Xia
AAML
37
6
0
23 Jul 2023
On the Robustness of Split Learning against Adversarial Attacks
Mingyuan Fan
Cen Chen
Chengyu Wang
Wenmeng Zhou
Jun Huang
AAML
20
8
0
16 Jul 2023
Common Knowledge Learning for Generating Transferable Adversarial Examples
Rui Yang
Yuanfang Guo
Junfu Wang
Jiantao Zhou
Yun-an Wang
AAML
13
0
0
01 Jul 2023
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection
Huiming Sun
Lan Fu
Jinlong Li
Qing-Wu Guo
Zibo Meng
Tianyun Zhang
Yuewei Lin
Hongkai Yu
AAML
19
9
0
30 Jun 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks
Xingxing Wei
Shiji Zhao
AAML
19
10
0
28 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability
Xiaosen Wang
Kangheng Tong
Kun He
AAML
SILM
22
25
0
22 Jun 2023
Reliable Evaluation of Adversarial Transferability
Wenqian Yu
Jindong Gu
Zhijiang Li
Philip H. S. Torr
AAML
29
8
0
14 Jun 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima
Zhijin Ge
Hongying Liu
Xiaosen Wang
Fanhua Shang
Yuanyuan Liu
AAML
11
40
0
08 Jun 2023
Adversarial Attack Based on Prediction-Correction
Chen Wan
Fangjun Huang
AAML
11
4
0
02 Jun 2023
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup
Junyoung Byun
Myung-Joon Kwon
Seungju Cho
Yoonji Kim
Changick Kim
AAML
30
17
0
24 May 2023
AF2-Mutation: Adversarial Sequence Mutations against AlphaFold2 on Protein Tertiary Structure Prediction
Zhong Yuan
Tao Shen
Sheng Xu
Leiye Yu
R. Ren
S. Sun
21
2
0
15 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack
Jianqi Chen
H. Chen
Keyan Chen
Yilan Zhang
Zhengxia Zou
Z. Shi
DiffM
29
57
0
14 May 2023
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization
Yulong Yang
Chenhao Lin
Qian Li
Zhengyu Zhao
Haoran Fan
Dawei Zhou
Nannan Wang
Tongliang Liu
Chao Shen
AAML
MQ
32
12
0
10 May 2023
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature
Juanjuan Weng
Zhiming Luo
Dazhen Lin
Shaozi Li
Zhun Zhong
AAML
FedML
39
7
0
02 May 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency
Yang Hou
Qing-Wu Guo
Yihao Huang
Xiaofei Xie
L. Ma
Jianjun Zhao
AAML
31
47
0
23 Apr 2023
StyLess: Boosting the Transferability of Adversarial Examples
Kaisheng Liang
Bin Xiao
AAML
13
18
0
23 Apr 2023
Diversifying the High-level Features for better Adversarial Transferability
Zhiyuan Wang
Zeliang Zhang
Siyuan Liang
Xiaosen Wang
AAML
42
18
0
20 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
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization
Jianping Zhang
Yizhan Huang
Weibin Wu
Michael R. Lyu
AAML
ViT
18
49
0
28 Mar 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method
Jianping Zhang
Jen-tse Huang
Wenxuan Wang
Yichen Li
Weibin Wu
Xiaosen Wang
Yuxin Su
Michael R. Lyu
AAML
48
50
0
28 Mar 2023
Improving the Transferability of Adversarial Examples via Direction Tuning
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
32
12
0
27 Mar 2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
Zexin Li
Bangjie Yin
Taiping Yao
Junfeng Guo
Shouhong Ding
Simin Chen
Cong Liu
AAML
23
34
0
22 Mar 2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
29
0
0
17 Mar 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
Boosting Adversarial Attacks by Leveraging Decision Boundary Information
Boheng Zeng
LianLi Gao
Qilong Zhang
Chaoqun Li
JingKuan Song
Shuaiqi Jing
AAML
17
2
0
10 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples
Jinwei Wang
Hao Wu
Haihua Wang
Jiawei Zhang
X. Luo
Bin Ma
AAML
23
0
0
08 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
Chang-Shu Liu
Yinpeng Dong
Wenzhao Xiang
X. Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OOD
VLM
AAML
33
72
0
28 Feb 2023
Boosting Adversarial Transferability using Dynamic Cues
Muzammal Naseer
Ahmad A Mahmood
Salman Khan
F. Khan
AAML
25
5
0
23 Feb 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
Improving Adversarial Transferability with Scheduled Step Size and Dual Example
Zeliang Zhang
Peihan Liu
Xiaosen Wang
Chenliang Xu
AAML
32
3
0
30 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning
Fei Yin
Yong Zhang
Baoyuan Wu
Yan Feng
Jingyi Zhang
Yanbo Fan
Yujiu Yang
AAML
27
27
0
01 Jan 2023
DISCO: Adversarial Defense with Local Implicit Functions
Chih-Hui Ho
Nuno Vasconcelos
AAML
23
38
0
11 Dec 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
Jiafeng Wang
Zhaoyu Chen
Kaixun Jiang
Dingkang Yang
Lingyi Hong
Pinxue Guo
Yan Wang
Wenqiang Zhang
AAML
26
27
0
21 Nov 2022
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
Accelerating Adversarial Perturbation by 50% with Semi-backward Propagation
Zhiqi Bu
AAML
25
0
0
09 Nov 2022
Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation
Fengfan Zhou
H. Ling
Yuxuan Shi
Jiazhong Chen
Zongyi Li
Ping Li
AAML
44
7
0
28 Oct 2022
Similarity of Neural Architectures using Adversarial Attack Transferability
Jaehui Hwang
Dongyoon Han
Byeongho Heo
Song Park
Sanghyuk Chun
Jong-Seok Lee
AAML
32
1
0
20 Oct 2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
Shuai Jia
Bangjie Yin
Taiping Yao
Shouhong Ding
Chunhua Shen
Xiaokang Yang
Chao Ma
AAML
CVBM
26
48
0
13 Oct 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation
Zeyu Qin
Yanbo Fan
Yi Liu
Li Shen
Yong Zhang
Jue Wang
Baoyuan Wu
AAML
SILM
26
80
0
12 Oct 2022
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
Zhengwei Fang
Rui Wang
Tao Huang
L. Jing
AAML
19
5
0
24 Sep 2022
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