Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2012.11207
Cited By
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
21 December 2020
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
Re-assign community
ArXiv
PDF
HTML
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
Juanjuan Weng
Zhiming Luo
Zhun Zhong
Shaozi Li
N. Sebe
AAML
34
16
0
07 Mar 2023
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
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
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
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
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
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
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
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
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
Zhipeng Wei
Jingjing Chen
Zuxuan Wu
Yueping Jiang
AAML
11
30
0
08 Sep 2022
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
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
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
Zhengyu Zhao
Nga Dang
Martha Larson
8
0
0
03 Jun 2022
Investigating Top-
k
k
k
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
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
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
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
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
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
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
Jacob Mitchell Springer
Melanie Mitchell
Garrett Kenyon
AAML
28
43
0
03 Jun 2021
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
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?
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
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
24
12
0
12 Nov 2020
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
Previous
1
2