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On Success and Simplicity: A Second Look at Transferable Targeted
  Attacks

On Success and Simplicity: A Second Look at Transferable Targeted Attacks

21 December 2020
Zhengyu Zhao
Zhuoran Liu
Martha Larson
    AAML
ArXivPDFHTML

Papers citing "On Success and Simplicity: A Second Look at Transferable Targeted Attacks"

29 / 79 papers shown
Title
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack
  by Logit Calibration
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration
Juanjuan Weng
Zhiming Luo
Zhun Zhong
Shaozi Li
N. Sebe
AAML
34
16
0
07 Mar 2023
Adversarial Attack with Raindrops
Adversarial Attack with Raindrops
Jiyuan Liu
Bingyi Lu
Mingkang Xiong
Tao Zhang
Huilin Xiong
13
18
0
28 Feb 2023
Boosting Adversarial Transferability using Dynamic Cues
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
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
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted
  Attacks
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks
Anqi Zhao
Tong Chu
Yahao Liu
Wen Li
Jingjing Li
Lixin Duan
AAML
26
16
0
18 Dec 2022
Imperceptible Adversarial Attack via Invertible Neural Networks
Imperceptible Adversarial Attack via Invertible Neural Networks
Zihan Chen
Zifan Wang
Junjie Huang
Wentao Zhao
Xiao Liu
Dejian Guan
AAML
36
20
0
28 Nov 2022
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action
  Recognition
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition
Rohit Gupta
Naveed Akhtar
Gaurav Kumar Nayak
Ajmal Saeed Mian
M. Shah
AAML
34
1
0
23 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks
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
Boosting the Transferability of Adversarial Attacks with Reverse
  Adversarial Perturbation
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
29
80
0
12 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a
  Distribution Perspective
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective
Yao Zhu
YueFeng Chen
Xiaodan Li
Kejiang Chen
Yuan He
Xiang Tian
Bo Zheng
Yao-wu Chen
Qingming Huang
AAML
33
58
0
09 Oct 2022
A Survey on Physical Adversarial Attack in Computer Vision
A Survey on Physical Adversarial Attack in Computer Vision
Donghua Wang
Wen Yao
Tingsong Jiang
Guijian Tang
Xiaoqian Chen
AAML
56
38
0
28 Sep 2022
Enhancing the Self-Universality for Transferable Targeted Attacks
Enhancing the Self-Universality for Transferable Targeted Attacks
Zhipeng Wei
Jingjing Chen
Zuxuan Wu
Yueping Jiang
AAML
11
30
0
08 Sep 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning
Enhancing Targeted Attack Transferability via Diversified Weight Pruning
Hung-Jui Wang
Yuehua Wu
Shang-Tse Chen
AAML
21
2
0
18 Aug 2022
Demystifying the Adversarial Robustness of Random Transformation
  Defenses
Demystifying the Adversarial Robustness of Random Transformation Defenses
Chawin Sitawarin
Zachary Golan-Strieb
David A. Wagner
AAML
15
20
0
18 Jun 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark
  Knowledge
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge
Dingcheng Yang
Zihao Xiao
Wenjian Yu
AAML
33
5
0
16 Jun 2022
The Importance of Image Interpretation: Patterns of Semantic
  Misclassification in Real-World Adversarial Images
The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images
Zhengyu Zhao
Nga Dang
Martha Larson
8
0
0
03 Jun 2022
Investigating Top-$k$ White-Box and Transferable Black-box Attack
Investigating Top-kkk White-Box and Transferable Black-box Attack
Chaoning Zhang
Philipp Benz
Adil Karjauv
Jae-Won Cho
Kang Zhang
In So Kweon
31
42
0
30 Mar 2022
Improving the Transferability of Targeted Adversarial Examples through
  Object-Based Diverse Input
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input
Junyoung Byun
Seungju Cho
Myung-Joon Kwon
Heeseon Kim
Changick Kim
AAML
DiffM
21
67
0
17 Mar 2022
Exploiting the Potential of Datasets: A Data-Centric Approach for Model
  Robustness
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness
Yiqi Zhong
Lei Wu
Xianming Liu
Junjun Jiang
AAML
22
9
0
10 Mar 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for
  Black-box Domains
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains
Qilong Zhang
Xiaodan Li
YueFeng Chen
Jingkuan Song
Lianli Gao
Yuan He
Hui Xue
AAML
67
64
0
27 Jan 2022
Amicable Aid: Perturbing Images to Improve Classification Performance
Amicable Aid: Perturbing Images to Improve Classification Performance
Juyeop Kim
Jun-Ho Choi
Soobeom Jang
Jong-Seok Lee
AAML
13
2
0
09 Dec 2021
Evaluating Adversarial Attacks on ImageNet: A Reality Check on
  Misclassification Classes
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes
Utku Ozbulak
Maura Pintor
Arnout Van Messem
W. D. Neve
AAML
9
5
0
22 Nov 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
A Little Robustness Goes a Long Way: Leveraging Robust Features for
  Targeted Transfer Attacks
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks
Jacob Mitchell Springer
Melanie Mitchell
Garrett Kenyon
AAML
28
43
0
03 Jun 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
Boosting Adversarial Transferability through Enhanced Momentum
Boosting Adversarial Transferability through Enhanced Momentum
Xiaosen Wang
Jiadong Lin
Han Hu
Jingdong Wang
Kun He
AAML
12
76
0
19 Mar 2021
Can Targeted Adversarial Examples Transfer When the Source and Target
  Models Have No Label Space Overlap?
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?
Nathan Inkawhich
Kevin J Liang
Jingyang Zhang
Huanrui Yang
H. Li
Yiran Chen
AAML
19
5
0
17 Mar 2021
Adversarial Image Color Transformations in Explicit Color Filter Space
Adversarial Image Color Transformations in Explicit Color Filter Space
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
24
12
0
12 Nov 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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