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Patch-wise Attack for Fooling Deep Neural Network

Patch-wise Attack for Fooling Deep Neural Network

14 July 2020
Lianli Gao
Qilong Zhang
Jingkuan Song
Xianglong Liu
Heng Tao Shen
    AAML
ArXivPDFHTML

Papers citing "Patch-wise Attack for Fooling Deep Neural Network"

33 / 33 papers shown
Title
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution
Yihao Huang
Xin Luo
Yihao Huang
Felix Juefei-Xu
Xiaojun Jia
Weikai Miao
G. Pu
Yang Liu
52
1
0
06 Mar 2025
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability
Hui Zeng
Sanshuai Cui
Biwei Chen
Anjie Peng
AAML
42
0
0
31 Dec 2024
Understanding Model Ensemble in Transferable Adversarial Attack
Understanding Model Ensemble in Transferable Adversarial Attack
Wei Yao
Zeliang Zhang
Huayi Tang
Yong Liu
33
2
0
09 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han
Mengmi Zhang
137
0
0
03 Oct 2024
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack
Zihao Pan
Weibin Wu
Yuhang Cao
Zibin Zheng
DiffM
AAML
65
1
0
03 Oct 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification
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
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
Xiao-Li Li
Wenxuan Sun
Huanran Chen
Qiongxiu Li
Yining Liu
Yingzhe He
Jie Shi
Xiaolin Hu
AAML
63
7
0
01 Aug 2024
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise
  Regression Tasks
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks
Zhiyuan Cheng
Zhaoyi Liu
Tengda Guo
Shiwei Feng
Dongfang Liu
Mingjie Tang
Xiangyu Zhang
AAML
36
3
0
01 Apr 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation
Attacking Transformers with Feature Diversity Adversarial Perturbation
Chenxing Gao
Hang Zhou
Junqing Yu
Yuteng Ye
Jiale Cai
Junle Wang
Wei Yang
AAML
32
3
0
10 Mar 2024
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language
  Models
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models
Xunguang Wang
Zhenlan Ji
Pingchuan Ma
Zongjie Li
Shuai Wang
MLLM
43
11
0
04 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
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
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm
Tailoring Adversarial Attacks on Deep Neural Networks for Targeted Class Manipulation Using DeepFool Algorithm
S. M. Fazle
J. Mondal
Meem Arafat Manab
Xi Xiao
Sarfaraz Newaz
AAML
27
0
0
18 Oct 2023
Boosting Adversarial Transferability via Fusing Logits of Top-1
  Decomposed Feature
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
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
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
Improving Adversarial Transferability with Scheduled Step Size and Dual
  Example
Improving Adversarial Transferability with Scheduled Step Size and Dual Example
Zeliang Zhang
Peihan Liu
Xiaosen Wang
Chenliang Xu
AAML
35
3
0
30 Jan 2023
Boosting the Transferability of Adversarial Attacks with Global Momentum
  Initialization
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
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Effective Targeted Attacks for Adversarial Self-Supervised Learning
Minseon Kim
Hyeonjeong Ha
Sooel Son
Sung Ju Hwang
AAML
39
3
0
19 Oct 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Shengming Yuan
Qilong Zhang
Lianli Gao
Yaya Cheng
Jingkuan Song
AAML
24
42
0
05 Oct 2022
Strong Transferable Adversarial Attacks via Ensembled Asymptotically
  Normal Distribution Learning
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
Zhengwei Fang
Rui Wang
Tao Huang
L. Jing
AAML
32
5
0
24 Sep 2022
Frequency Domain Model Augmentation for Adversarial Attack
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
AAML
26
155
0
12 Jul 2022
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition
  using a Mobile and Compact Printer
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer
Xiaoliang Liu
S. Furao
Jian Zhao
Changhai Nie
AAML
CVBM
33
5
0
25 Jun 2022
Improving Adversarial Transferability via Neuron Attribution-Based
  Attacks
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
Jianping Zhang
Weibin Wu
Jen-tse Huang
Yizhan Huang
Wenxuan Wang
Yuxin Su
Michael R. Lyu
AAML
45
130
0
31 Mar 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
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
Generative Dynamic Patch Attack
Generative Dynamic Patch Attack
Xiang Li
Shihao Ji
AAML
27
22
0
08 Nov 2021
Fast Gradient Non-sign Methods
Fast Gradient Non-sign Methods
Yaya Cheng
Jingkuan Song
Xiaosu Zhu
Qilong Zhang
Lianli Gao
Heng Tao Shen
AAML
24
11
0
25 Oct 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack
Training Meta-Surrogate Model for Transferable Adversarial Attack
Yunxiao Qin
Yuanhao Xiong
Jinfeng Yi
Cho-Jui Hsieh
AAML
15
18
0
05 Sep 2021
Boosting Transferability of Targeted Adversarial Examples via
  Hierarchical Generative Networks
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks
Xiao Yang
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
AAML
38
38
0
05 Jul 2021
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or
  WITHOUT Signature
We Can Always Catch You: Detecting Adversarial Patched Objects WITH or WITHOUT Signature
Binxiu Liang
Jiachun Li
Jianjun Huang
AAML
30
12
0
09 Jun 2021
Feature Space Targeted Attacks by Statistic Alignment
Feature Space Targeted Attacks by Statistic Alignment
Lianli Gao
Yaya Cheng
Qilong Zhang
Xing Xu
Jingkuan Song
AAML
24
31
0
25 May 2021
Staircase Sign Method for Boosting Adversarial Attacks
Staircase Sign Method for Boosting Adversarial Attacks
Qilong Zhang
Xiaosu Zhu
Jingkuan Song
Lianli Gao
Heng Tao Shen
AAML
43
13
0
20 Apr 2021
On Success and Simplicity: A Second Look at Transferable Targeted
  Attacks
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
35
122
0
21 Dec 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
293
3,112
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,842
0
08 Jul 2016
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