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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
Use as Many Surrogates as You Want: Selective Ensemble Attack to Unleash Transferability without Sacrificing Resource Efficiency
Use as Many Surrogates as You Want: Selective Ensemble Attack to Unleash Transferability without Sacrificing Resource Efficiency
Bo Yang
Hengwei Zhang
Jindong Wang
Yuchen Ren
Chenhao Lin
Chao Shen
Zhengyu Zhao
AAML
24
0
0
19 May 2025
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection
Xia Du
Jiajie Zhu
Jizhe Zhou
Chi-Man Pun
Zheng Lin
Cong Wu
Zhaoyu Chen
Jun Luo
AAML
31
0
0
11 May 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
Hanxun Huang
Sarah Monazam Erfani
Yige Li
Xingjun Ma
James Bailey
AAML
60
0
0
08 May 2025
Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification
Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification
Kota Fukuda
Guanqin Zhang
Zhenya Zhang
Yulei Sui
Jianjun Zhao
50
0
0
02 May 2025
A Simple DropConnect Approach to Transfer-based Targeted Attack
A Simple DropConnect Approach to Transfer-based Targeted Attack
Tongrui Su
Qingbin Li
Shengyu Zhu
Wei Chen
Xueqi Cheng
AAML
69
0
0
24 Apr 2025
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Yi Yu
Song Xia
Xun Lin
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
AAML
SILM
243
0
0
20 Apr 2025
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach
Hangyu Liu
Bo Peng
Pengxiang Ding
Donglin Wang
AAML
33
0
0
19 Apr 2025
Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability
Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability
Jiani Liu
Zhiyuan Wang
Zeliang Zhang
Chao Huang
Susan Liang
Yunlong Tang
Chenliang Xu
AAML
44
0
0
15 Apr 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
Yuyao Zhang
Yingzhe Xu
Junyu Shi
L. Zhang
Shengshan Hu
Minghui Li
Yanjun Zhang
AAML
64
1
0
17 Mar 2025
Exploring Adversarial Transferability between Kolmogorov-arnold Networks
Exploring Adversarial Transferability between Kolmogorov-arnold Networks
Songping Wang
Xinquan Yue
Yueming Lyu
Caifeng Shan
AAML
79
1
0
08 Mar 2025
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
64
1
0
06 Mar 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
Chanhui Lee
Yeonghwan Song
Jeany Son
AAML
237
0
0
28 Feb 2025
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
Wenyuan Wu
Zheng Liu
Yong Chen
Chao Su
Dezhong Peng
Xu Wang
AAML
46
0
0
24 Feb 2025
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images
Yubo Wang
Jianting Tang
Chaohu Liu
Linli Xu
AAML
68
1
0
23 Feb 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
148
0
0
21 Feb 2025
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN
Jiayu Zhang
Zhiyu Zhu
Xinyi Wang
Silin Liao
Zhibo Jin
Flora Salim
Huaming Chen
GAN
54
0
0
16 Feb 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization
Yixiao Chen
Shikun Sun
Jianshu Li
Ruoyu Li
Zhe Li
Junliang Xing
AAML
109
0
0
04 Feb 2025
Imitation Game for Adversarial Disillusion with Multimodal Generative Chain-of-Thought Role-Play
Imitation Game for Adversarial Disillusion with Multimodal Generative Chain-of-Thought Role-Play
Ching-Chun Chang
Fan-Yun Chen
Shih-Hong Gu
Kai Gao
Hanrui Wang
Isao Echizen
AAML
267
0
0
31 Jan 2025
Region-Guided Attack on the Segment Anything Model (SAM)
Region-Guided Attack on the Segment Anything Model (SAM)
Xiaoliang Liu
Furao Shen
Jian Zhao
AAML
33
0
0
03 Jan 2025
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
RobustBlack: Challenging Black-Box Adversarial Attacks on State-of-the-Art Defenses
Mohamed Djilani
Salah Ghamizi
Maxime Cordy
50
0
0
31 Dec 2024
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
54
0
0
31 Dec 2024
Transferable Adversarial Face Attack with Text Controlled Attribute
Transferable Adversarial Face Attack with Text Controlled Attribute
Wenyun Li
Zheng Zhang
X. Lan
D. Jiang
AAML
93
1
0
16 Dec 2024
Improving Transferable Targeted Attacks with Feature Tuning Mixup
Improving Transferable Targeted Attacks with Feature Tuning Mixup
K. Liang
Xuelong Dai
Yanjie Li
Dong Wang
Bin Xiao
AAML
251
0
0
23 Nov 2024
Adversarial Prompt Distillation for Vision-Language Models
Adversarial Prompt Distillation for Vision-Language Models
Lin Luo
Xin Wang
Bojia Zi
Shihao Zhao
Xingjun Ma
Yu-Gang Jiang
AAML
VLM
89
2
0
22 Nov 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
Transferable Adversarial Attacks on SAM and Its Downstream Models
Song Xia
Wenhan Yang
Yi Yu
Xun Lin
Henghui Ding
Lingyu Duan
Xudong Jiang
AAML
SILM
69
6
0
26 Oct 2024
S$^4$ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
S4^44ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
Yongxiang Liu
Bowen Peng
Li Liu
Xuzhao Li
171
0
0
13 Oct 2024
Natural Language Induced Adversarial Images
Natural Language Induced Adversarial Images
Xiaopei Zhu
Peiyang Xu
Guanning Zeng
Yingpeng Dong
Xiaolin Hu
AAML
35
0
0
11 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack
Understanding Model Ensemble in Transferable Adversarial Attack
Wei Yao
Zeliang Zhang
Huayi Tang
Yong Liu
38
2
0
09 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
72
1
0
03 Oct 2024
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
Boming Miao
Chunxiao Li
Yao Zhu
Weixiang Sun
Zizhe Wang
Xiaoyi Wang
Chuanlong Xie
DiffM
AAML
34
1
0
11 Sep 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
71
1
0
06 Sep 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective
Tal Alter
Raz Lapid
Moshe Sipper
AAML
62
6
0
25 Aug 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAML
VLM
60
4
0
30 Jul 2024
Exploring the Adversarial Robustness of CLIP for AI-generated Image
  Detection
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection
Vincenzo De Rosa
Fabrizio Guillaro
Giovanni Poggi
D. Cozzolino
L. Verdoliva
AAML
75
6
0
28 Jul 2024
OSLO: One-Shot Label-Only Membership Inference Attacks
OSLO: One-Shot Label-Only Membership Inference Attacks
Yuefeng Peng
Jaechul Roh
Subhransu Maji
Amir Houmansadr
44
0
0
27 May 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models
Fengfan Zhou
Qianyu Zhou
Hefei Ling
Xuequan Lu
AAML
50
3
0
27 May 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving
  Adversarial Transferability
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
Juanjuan Weng
Zhiming Luo
Shaozi Li
AAML
41
1
0
06 May 2024
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video
  quality metrics
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics
Victoria Leonenkova
E. Shumitskaya
Anastasia Antsiferova
D. Vatolin
51
3
0
15 Apr 2024
Unsegment Anything by Simulating Deformation
Unsegment Anything by Simulating Deformation
Jiahao Lu
Xingyi Yang
Xinchao Wang
41
4
0
03 Apr 2024
Boosting Transferability in Vision-Language Attacks via Diversification
  along the Intersection Region of Adversarial Trajectory
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory
Sensen Gao
Xiaojun Jia
Xuhong Ren
Ivor Tsang
Qing Guo
AAML
43
14
0
19 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With
  FGSM
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
Linyu Tang
Lei Zhang
AAML
35
3
0
18 Mar 2024
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A
  Pilot Study
Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study
Chenguang Wang
Ruoxi Jia
Xin Liu
Dawn Song
VLM
29
7
0
15 Mar 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
37
3
0
10 Mar 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
Bo Yang
Hengwei Zhang
Jin-dong Wang
Yulong Yang
Chenhao Lin
Chao Shen
Zhengyu Zhao
SILM
AAML
71
2
0
27 Feb 2024
Exploring Vulnerabilities of No-Reference Image Quality Assessment
  Models: A Query-Based Black-Box Method
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method
Chenxi Yang
Yujia Liu
Dingquan Li
Tingting Jiang
40
6
0
10 Jan 2024
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural
  Networks
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks
Peng Zhao
Jiehua Zhang
Bowen Peng
Longguang Wang
Yingmei Wei
Yu Liu
Li Liu
AAML
39
0
0
21 Dec 2023
Towards Transferable Adversarial Attacks with Centralized Perturbation
Towards Transferable Adversarial Attacks with Centralized Perturbation
Shangbo Wu
Yu-an Tan
Yajie Wang
Ruinan Ma
Wencong Ma
Yuan-zhang Li
AAML
35
9
0
11 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation
Indirect Gradient Matching for Adversarial Robust Distillation
Hongsin Lee
Seungju Cho
Changick Kim
AAML
FedML
53
2
0
06 Dec 2023
NeRFTAP: Enhancing Transferability of Adversarial Patches on Face
  Recognition using Neural Radiance Fields
NeRFTAP: Enhancing Transferability of Adversarial Patches on Face Recognition using Neural Radiance Fields
Xiaoliang Liu
Shen Furao
Feng Han
Jian Zhao
Changhai Nie
AAML
28
0
0
29 Nov 2023
A Survey of Adversarial CAPTCHAs on its History, Classification and
  Generation
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation
Zisheng Xu
Qiao Yan
Fei Yu
Victor C.M. Leung
AAML
29
1
0
22 Nov 2023
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