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Improving Transferability of Adversarial Examples with Input Diversity

Improving Transferability of Adversarial Examples with Input Diversity

19 March 2018
Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
    AAML
ArXivPDFHTML

Papers citing "Improving Transferability of Adversarial Examples with Input Diversity"

50 / 238 papers shown
Title
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
Adversarial Prompt Tuning for Vision-Language Models
Adversarial Prompt Tuning for Vision-Language Models
Jiaming Zhang
Xingjun Ma
Xin Wang
Lingyu Qiu
Jiaqi Wang
Yu-Gang Jiang
Jitao Sang
AAML
VPVLM
VLM
32
20
0
19 Nov 2023
On The Relationship Between Universal Adversarial Attacks And Sparse
  Representations
On The Relationship Between Universal Adversarial Attacks And Sparse Representations
Dana Weitzner
Raja Giryes
AAML
37
0
0
14 Nov 2023
PubDef: Defending Against Transfer Attacks From Public Models
PubDef: Defending Against Transfer Attacks From Public Models
Chawin Sitawarin
Jaewon Chang
David Huang
Wesson Altoyan
David Wagner
AAML
44
6
0
26 Oct 2023
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
Xu Yuan
Zheng-Wei Zhang
Xunguang Wang
Lin Wu
AAML
39
11
0
23 Oct 2023
Black-box Targeted Adversarial Attack on Segment Anything (SAM)
Black-box Targeted Adversarial Attack on Segment Anything (SAM)
Sheng Zheng
Chaoning Zhang
Xinhong Hao
AAML
42
7
0
16 Oct 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep
  Neural Networks
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks
Yang Wang
B. Dong
Ke Xu
Haiyin Piao
Yufei Ding
Baocai Yin
Xin Yang
AAML
39
3
0
10 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation
Assessing Robustness via Score-Based Adversarial Image Generation
Marcel Kollovieh
Lukas Gosch
Yan Scholten
Marten Lienen
Leo Schwinn
Stephan Günnemann
DiffM
48
5
0
06 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models
  Against Adversarial Attacks
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
45
16
0
01 Oct 2023
Enhancing Adversarial Attacks: The Similar Target Method
Enhancing Adversarial Attacks: The Similar Target Method
Shuo Zhang
Ziruo Wang
Zikai Zhou
Huanran Chen
AAML
57
1
0
21 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation
Boosting Adversarial Transferability by Block Shuffle and Rotation
Kunyu Wang
Xu He
Wenxuan Wang
Xiaosen Wang
AAML
36
36
0
20 Aug 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models
Test-Time Poisoning Attacks Against Test-Time Adaptation Models
Tianshuo Cong
Xinlei He
Yun Shen
Yang Zhang
AAML
TTA
37
5
0
16 Aug 2023
Backpropagation Path Search On Adversarial Transferability
Backpropagation Path Search On Adversarial Transferability
Zhuoer Xu
Zhangxuan Gu
Jianping Zhang
Shiwen Cui
Changhua Meng
Weiqiang Wang
AAML
40
5
0
15 Aug 2023
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks
Xinjie Dong
Rui Wang
Siyuan Liang
Aishan Liu
Lihua Jing
AAML
PICV
34
8
0
11 Aug 2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty
  Estimation for Adversarial Robustness
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness
Ruoxi Qin
Linyuan Wang
Xuehui Du
Xing-yuan Chen
Binghai Yan
AAML
39
0
0
01 Aug 2023
Set-level Guidance Attack: Boosting Adversarial Transferability of
  Vision-Language Pre-training Models
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models
Dong Lu
Zhiqiang Wang
Teng Wang
Weili Guan
Hongchang Gao
Feng Zheng
AAML
60
65
0
26 Jul 2023
Towards Building More Robust Models with Frequency Bias
Towards Building More Robust Models with Frequency Bias
Qingwen Bu
Dong Huang
Heming Cui
AAML
19
10
0
19 Jul 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial
  Transferability from Surrogate Training
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training
Yechao Zhang
Shengshan Hu
Leo Yu Zhang
Junyu Shi
Minghui Li
Xiaogeng Liu
Wei Wan
Hai Jin
AAML
32
21
0
15 Jul 2023
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty
Tao Wu
Tie-Mei Luo
D. Wunsch
AAML
30
9
0
09 Jul 2023
A Comprehensive Study on the Robustness of Image Classification and
  Object Detection in Remote Sensing: Surveying and Benchmarking
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
Shaohui Mei
Jiawei Lian
Xiaofei Wang
Yuru Su
Mingyang Ma
Lap-Pui Chau
AAML
33
11
0
21 Jun 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
49
7
0
02 May 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency
Evading DeepFake Detectors via Adversarial Statistical Consistency
Yang Hou
Qing Guo
Yihao Huang
Xiaofei Xie
Lei Ma
Jianjun Zhao
AAML
36
48
0
23 Apr 2023
Diversifying the High-level Features for better Adversarial
  Transferability
Diversifying the High-level Features for better Adversarial Transferability
Zhiyuan Wang
Zeliang Zhang
Siyuan Liang
Xiaosen Wang
AAML
54
18
0
20 Apr 2023
Generating Adversarial Examples with Better Transferability via Masking
  Unimportant Parameters of Surrogate Model
Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model
Dingcheng Yang
Wenjian Yu
Zihao Xiao
Jiaqi Luo
AAML
DiffM
31
5
0
14 Apr 2023
Going Further: Flatness at the Rescue of Early Stopping for Adversarial
  Example Transferability
Going Further: Flatness at the Rescue of Early Stopping for Adversarial Example Transferability
Martin Gubri
Maxime Cordy
Yves Le Traon
AAML
33
3
1
05 Apr 2023
Randomized Adversarial Style Perturbations for Domain Generalization
Randomized Adversarial Style Perturbations for Domain Generalization
Taehoon Kim
Bohyung Han
AAML
38
2
0
04 Apr 2023
Transferable Adversarial Attacks on Vision Transformers with Token
  Gradient Regularization
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization
Jianping Zhang
Yizhan Huang
Weibin Wu
Michael R. Lyu
AAML
ViT
23
50
0
28 Mar 2023
Ensemble-based Blackbox Attacks on Dense Prediction
Ensemble-based Blackbox Attacks on Dense Prediction
Zikui Cai
Yaoteng Tan
Ulugbek S. Kamilov
AAML
38
14
0
25 Mar 2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples
Fuzziness-tuned: Improving the Transferability of Adversarial Examples
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
42
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
33
56
0
16 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Yuguang Yao
Jiancheng Liu
Yifan Gong
Xiaoming Liu
Yanzhi Wang
Xinyu Lin
Sijia Liu
AAML
MLAU
42
1
0
13 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
25
2
0
10 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
OOD
VLM
AAML
40
75
0
28 Feb 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
Randomness in ML Defenses Helps Persistent Attackers and Hinders
  Evaluators
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators
Keane Lucas
Matthew Jagielski
Florian Tramèr
Lujo Bauer
Nicholas Carlini
AAML
30
10
0
27 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
49
21
0
19 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
43
36
0
10 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
37
3
0
30 Jan 2023
Beckman Defense
Beckman Defense
A. V. Subramanyam
OOD
AAML
44
0
0
04 Jan 2023
Explainability and Robustness of Deep Visual Classification Models
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
52
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
39
27
0
01 Jan 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack
Guidance Through Surrogate: Towards a Generic Diagnostic Attack
Muzammal Naseer
Salman Khan
Fatih Porikli
Fahad Shahbaz Khan
AAML
28
1
0
30 Dec 2022
Unleashing the Power of Visual Prompting At the Pixel Level
Unleashing the Power of Visual Prompting At the Pixel Level
Junyang Wu
Xianhang Li
Chen Wei
Huiyu Wang
Alan Yuille
Yuyin Zhou
Cihang Xie
VPVLM
VLM
34
31
0
20 Dec 2022
AI Security for Geoscience and Remote Sensing: Challenges and Future
  Trends
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends
Yonghao Xu
Tao Bai
Weikang Yu
Shizhen Chang
P. M. Atkinson
Pedram Ghamisi
AAML
43
47
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
28
16
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
32
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
42
2
0
11 Dec 2022
Artificial Intelligence Security Competition (AISC)
Artificial Intelligence Security Competition (AISC)
Yinpeng Dong
Peng Chen
Senyou Deng
L. Lianji
Yi Sun
...
Zhichao Cui
G. Liu
Huafeng Shi
K. Hu
Meng Zhang
35
0
0
07 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
36
9
0
29 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
38
27
0
21 Nov 2022
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