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Delving into Transferable Adversarial Examples and Black-box Attacks
v1v2v3 (latest)

Delving into Transferable Adversarial Examples and Black-box Attacks

8 November 2016
Yanpei Liu
Xinyun Chen
Chang-rui Liu
Basel Alomair
    AAML
ArXiv (abs)PDFHTML

Papers citing "Delving into Transferable Adversarial Examples and Black-box Attacks"

50 / 928 papers shown
Title
Feature Separation and Recalibration for Adversarial Robustness
Feature Separation and Recalibration for Adversarial Robustness
Woo Jae Kim
Y. Cho
Junsik Jung
Sung-eui Yoon
AAML
117
22
0
24 Mar 2023
An Extended Study of Human-like Behavior under Adversarial Training
An Extended Study of Human-like Behavior under Adversarial Training
Paul Gavrikov
J. Keuper
Margret Keuper
AAML
61
9
0
22 Mar 2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face
  Recognition
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
Zexin Li
Bangjie Yin
Taiping Yao
Junfeng Guo
Shouhong Ding
Simin Chen
Cong Liu
AAML
57
36
0
22 Mar 2023
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits
  and Risks
Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks
Yilun Zhou
62
0
0
17 Mar 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
109
70
0
16 Mar 2023
Do we need entire training data for adversarial training?
Do we need entire training data for adversarial training?
Vipul Gupta
Apurva Narayan
AAML
70
1
0
10 Mar 2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information
Boosting Adversarial Attacks by Leveraging Decision Boundary Information
Boheng Zeng
LianLi Gao
Qilong Zhang
Chaoqun Li
JingKuan Song
Shuaiqi Jing
AAML
112
2
0
10 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the
  Generation of Adversarial Examples
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
55
0
0
08 Mar 2023
Patch of Invisibility: Naturalistic Physical Black-Box Adversarial
  Attacks on Object Detectors
Patch of Invisibility: Naturalistic Physical Black-Box Adversarial Attacks on Object Detectors
Raz Lapid
Eylon Mizrahi
Moshe Sipper
AAML
64
1
0
07 Mar 2023
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
81
19
0
07 Mar 2023
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness
  in ReLU Networks
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
83
17
0
02 Mar 2023
Feature Extraction Matters More: Universal Deepfake Disruption through
  Attacking Ensemble Feature Extractors
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors
Long Tang
Dengpan Ye
Zhenhao Lu
Yunming Zhang
Shengshan Hu
Yue Xu
Chuanxi Chen
AAML
86
9
0
01 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models:
  Benchmarking and Rethinking
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
Chang-Shu Liu
Yinpeng Dong
Wenzhao Xiang
Xiaohu Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OODVLMAAML
115
85
0
28 Feb 2023
GLOW: Global Layout Aware Attacks on Object Detection
GLOW: Global Layout Aware Attacks on Object Detection
Buyu Liu
BaoJun
Jianping Fan
Xi Peng
Kui Ren
Jun Yu
AAML
41
0
0
27 Feb 2023
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign
  Recognition: A Feasibility Study
Physical Adversarial Attacks on Deep Neural Networks for Traffic Sign Recognition: A Feasibility Study
Fabian Woitschek
G. Schneider
AAML
73
9
0
27 Feb 2023
A Novel Noise Injection-based Training Scheme for Better Model
  Robustness
A Novel Noise Injection-based Training Scheme for Better Model Robustness
Zeliang Zhang
Jinyang Jiang
Minjie Chen
Zhiyuan Wang
Yijie Peng
Zhaofei Yu
63
3
0
17 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future
  Research Directions
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions
Marwan Omar
SILMAAML
86
20
0
14 Feb 2023
Raising the Cost of Malicious AI-Powered Image Editing
Raising the Cost of Malicious AI-Powered Image Editing
Hadi Salman
Alaa Khaddaj
Guillaume Leclerc
Andrew Ilyas
Aleksander Madry
DiffM
103
118
0
13 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of
  Adversarial Examples
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
AAML
125
37
0
10 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in
  ML-based Malware Detection
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection
Aqib Rashid
Jose Such
AAML
60
2
0
01 Feb 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
62
3
0
30 Jan 2023
RobustPdM: Designing Robust Predictive Maintenance against Adversarial
  Attacks
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks
Ayesha Siddique
Ripan Kumar Kundu
Gautam Raj Mode
K. A. Hoque
AAML
60
2
0
25 Jan 2023
On the Adversarial Robustness of Camera-based 3D Object Detection
On the Adversarial Robustness of Camera-based 3D Object Detection
Shaoyuan Xie
Zichao Li
Zeyu Wang
Cihang Xie
AAML
86
20
0
25 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based
  Systems: A Survey and Taxonomy
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy
Yusuke Kawamoto
Kazumasa Miyake
K. Konishi
Y. Oiwa
62
4
0
18 Jan 2023
Phase-shifted Adversarial Training
Phase-shifted Adversarial Training
Yeachan Kim
Seongyeon Kim
Ihyeok Seo
Bonggun Shin
AAMLOOD
66
0
0
12 Jan 2023
AdvBiom: Adversarial Attacks on Biometric Matchers
AdvBiom: Adversarial Attacks on Biometric Matchers
Debayan Deb
Vishesh Mistry
Rahul Parthe
AAMLCVBM
72
3
0
10 Jan 2023
Explainability and Robustness of Deep Visual Classification Models
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
99
2
0
03 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning
Generalizable Black-Box Adversarial Attack with Meta Learning
Fei Yin
Yong Zhang
Baoyuan Wu
Yan Feng
Jingyi Zhang
Yanbo Fan
Yujiu Yang
AAML
102
28
0
01 Jan 2023
Publishing Efficient On-device Models Increases Adversarial
  Vulnerability
Publishing Efficient On-device Models Increases Adversarial Vulnerability
Sanghyun Hong
Nicholas Carlini
Alexey Kurakin
AAML
75
3
0
28 Dec 2022
Simultaneously Optimizing Perturbations and Positions for Black-box
  Adversarial Patch Attacks
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks
Xingxing Wei
Yingjie Guo
Jie Yu
Bo Zhang
AAML
106
52
0
26 Dec 2022
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations
Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations
Lianke Qin
Aravind Reddy
Zhao Song
Zhaozhuo Xu
Danyang Zhuo
70
13
0
21 Dec 2022
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven
  Optimization
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
Bairu Hou
Jinghan Jia
Yihua Zhang
Guanhua Zhang
Yang Zhang
Sijia Liu
Shiyu Chang
SILMAAML
63
24
0
19 Dec 2022
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
74
18
0
18 Dec 2022
Carpet-bombing patch: attacking a deep network without usual
  requirements
Carpet-bombing patch: attacking a deep network without usual requirements
Pol Labarbarie
Adrien Chan-Hon-Tong
Stéphane Herbin
Milad Leyli-Abadi
AAML
58
1
0
12 Dec 2022
General Adversarial Defense Against Black-box Attacks via Pixel Level
  and Feature Level Distribution Alignments
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments
Xiaogang Xu
Hengshuang Zhao
Philip Torr
Jiaya Jia
AAML
61
2
0
11 Dec 2022
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial
  Perturbations against Interpretable Deep Learning
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning
Eldor Abdukhamidov
Mohammed Abuhamad
Simon S. Woo
Eric Chan-Tin
Tamer Abuhmed
AAML
63
9
0
29 Nov 2022
Game Theoretic Mixed Experts for Combinational Adversarial Machine
  Learning
Game Theoretic Mixed Experts for Combinational Adversarial Machine Learning
Ethan Rathbun
Kaleel Mahmood
Sohaib Ahmad
Caiwen Ding
Marten van Dijk
AAML
85
5
0
26 Nov 2022
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
Sizhe Chen
Geng Yuan
Xinwen Cheng
Yifan Gong
Minghai Qin
Yanzhi Wang
Xiaolin Huang
AAML
70
20
0
22 Nov 2022
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
126
31
0
21 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
107
20
0
17 Nov 2022
Butterfly Effect Attack: Tiny and Seemingly Unrelated Perturbations for
  Object Detection
Butterfly Effect Attack: Tiny and Seemingly Unrelated Perturbations for Object Detection
N. Doan
Arda Yüksel
Chih-Hong Cheng
AAML
63
1
0
14 Nov 2022
Visually Adversarial Attacks and Defenses in the Physical World: A
  Survey
Visually Adversarial Attacks and Defenses in the Physical World: A Survey
Xingxing Wei
Bangzheng Pu
Jiefan Lu
Baoyuan Wu
AAML
148
11
0
03 Nov 2022
Improving the Transferability of Adversarial Attacks on Face Recognition
  with Beneficial Perturbation Feature Augmentation
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
135
7
0
28 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
98
6
0
19 Oct 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
Khoa D. Doan
Yingjie Lao
Ping Li
86
41
0
17 Oct 2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face
  Recognition
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition
Shuai Jia
Bangjie Yin
Taiping Yao
Shouhong Ding
Chunhua Shen
Xiaokang Yang
Chao Ma
AAMLCVBM
91
50
0
13 Oct 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
AAMLSILM
83
84
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
64
59
0
09 Oct 2022
Pre-trained Adversarial Perturbations
Pre-trained Adversarial Perturbations
Y. Ban
Yinpeng Dong
AAML
98
24
0
07 Oct 2022
Bad Citrus: Reducing Adversarial Costs with Model Distances
Bad Citrus: Reducing Adversarial Costs with Model Distances
Giorgio Severi
Will Pearce
Alina Oprea
AAML
74
1
0
06 Oct 2022
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