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Breaking Dataset Boundaries: Class-Agnostic Targeted Adversarial Attacks

Breaking Dataset Boundaries: Class-Agnostic Targeted Adversarial Attacks

27 May 2025
Taïga Gonçalves
Tomo Miyazaki
S. Omachi
    OOD
    AAML
ArXivPDFHTML

Papers citing "Breaking Dataset Boundaries: Class-Agnostic Targeted Adversarial Attacks"

46 / 46 papers shown
Title
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable
  Adversarial Attacks
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAML
103
5
0
30 Jul 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
108
5
0
30 Jul 2024
Any Target Can be Offense: Adversarial Example Generation via
  Generalized Latent Infection
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection
Youheng Sun
Shengming Yuan
Xuanhan Wang
Lianli Gao
Jingkuan Song
AAML
49
3
0
17 Jul 2024
CLIP-Guided Networks for Transferable Targeted Attacks
CLIP-Guided Networks for Transferable Targeted Attacks
Hao Fang
Jiawei Kong
Bin Chen
Tao Dai
Hao Wu
Shu-Tao Xia
AAML
81
6
0
14 Jul 2024
Perturbation Towards Easy Samples Improves Targeted Adversarial
  Transferability
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
Junqi Gao
Biqing Qi
Yao Li
Zhichang Guo
Dong Li
Yuming Xing
Dazhi Zhang
AAML
61
7
0
08 Jun 2024
Zipformer: A faster and better encoder for automatic speech recognition
Zipformer: A faster and better encoder for automatic speech recognition
Zengwei Yao
Liyong Guo
Xiaoyu Yang
Wei Kang
Fangjun Kuang
Yifan Yang
Zengrui Jin
Long Lin
Daniel Povey
VLM
60
80
0
17 Oct 2023
A Sentence Speaks a Thousand Images: Domain Generalization through
  Distilling CLIP with Language Guidance
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance
Zeyi Huang
Andy Zhou
Zijian Lin
Mu Cai
Haohan Wang
Yong Jae Lee
VLM
OOD
59
32
0
21 Sep 2023
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
47
34
0
08 Sep 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
85
65
0
27 Jan 2022
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
52
39
0
05 Jul 2021
Feature Space Targeted Attacks by Statistic Alignment
Feature Space Targeted Attacks by Statistic Alignment
Lianli Gao
Yaya Cheng
Qilong Zhang
Xing Xu
Jingkuan Song
AAML
38
33
0
25 May 2021
Understanding the Robustness of Skeleton-based Action Recognition under
  Adversarial Attack
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack
He Wang
Feixiang He
Zhexi Peng
Tianjia Shao
Yong-Liang Yang
Kun Zhou
David C. Hogg
AAML
54
40
0
09 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
866
29,341
0
26 Feb 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
372
6,757
0
23 Dec 2020
Just One Moment: Structural Vulnerability of Deep Action Recognition
  against One Frame Attack
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack
Ian Ryu
Jun-Hyuk Kim
Jun-Ho Choi
Jong-Seok Lee
AAML
52
17
0
30 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
601
40,961
0
22 Oct 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey
Local Differential Privacy and Its Applications: A Comprehensive Survey
Mengmeng Yang
Lingjuan Lyu
Jun Zhao
Tianqing Zhu
Kwok-Yan Lam
65
145
0
09 Aug 2020
Do Adversarially Robust ImageNet Models Transfer Better?
Do Adversarially Robust ImageNet Models Transfer Better?
Hadi Salman
Andrew Ilyas
Logan Engstrom
Ashish Kapoor
Aleksander Madry
62
424
0
16 Jul 2020
Conformer: Convolution-augmented Transformer for Speech Recognition
Conformer: Convolution-augmented Transformer for Speech Recognition
Anmol Gulati
James Qin
Chung-Cheng Chiu
Niki Parmar
Yu Zhang
...
Wei Han
Shibo Wang
Zhengdong Zhang
Yonghui Wu
Ruoming Pang
216
3,130
0
16 May 2020
Semi-supervised Medical Image Classification with Relation-driven
  Self-ensembling Model
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Quande Liu
Lequan Yu
Luyang Luo
Qi Dou
Pheng Ann Heng
84
225
0
15 May 2020
Transferable Perturbations of Deep Feature Distributions
Transferable Perturbations of Deep Feature Distributions
Nathan Inkawhich
Kevin J. Liang
Lawrence Carin
Yiran Chen
AAML
55
86
0
27 Apr 2020
AugMix: A Simple Data Processing Method to Improve Robustness and
  Uncertainty
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks
Norman Mu
E. D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
OOD
UQCV
97
1,300
0
05 Dec 2019
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target
  Adversarial Network Once
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once
Jiangfan Han
Xiaoyi Dong
Ruimao Zhang
Dongdong Chen
Weiming Zhang
Nenghai Yu
Ping Luo
Xiaogang Wang
AAML
51
29
0
14 Aug 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
133
18,106
0
28 May 2019
Evading Defenses to Transferable Adversarial Examples by
  Translation-Invariant Attacks
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
Yinpeng Dong
Tianyu Pang
Hang Su
Jun Zhu
SILM
AAML
85
847
0
05 Apr 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
142
2,685
0
18 Mar 2019
Generating Adversarial Examples With Conditional Generative Adversarial
  Net
Generating Adversarial Examples With Conditional Generative Adversarial Net
Ping Yu
Kaitao Song
Jianfeng Lu
AAML
GAN
38
23
0
18 Mar 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
100
2,666
0
29 Nov 2018
Event-based Vision meets Deep Learning on Steering Prediction for
  Self-driving Cars
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars
A. I. Maqueda
Antonio Loquercio
Guillermo Gallego
Narciso García
Davide Scaramuzza
75
503
0
04 Apr 2018
Improving Transferability of Adversarial Examples with Input Diversity
Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
AAML
100
1,121
0
19 Mar 2018
Generalizable Data-free Objective for Crafting Universal Adversarial
  Perturbations
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations
Konda Reddy Mopuri
Aditya Ganeshan
R. Venkatesh Babu
AAML
102
206
0
24 Jan 2018
Generative Adversarial Perturbations
Generative Adversarial Perturbations
Omid Poursaeed
Isay Katsman
Bicheng Gao
Serge J. Belongie
AAML
GAN
WIGM
67
355
0
06 Dec 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
417
26,465
0
05 Sep 2017
Fast Feature Fool: A data independent approach to universal adversarial
  perturbations
Fast Feature Fool: A data independent approach to universal adversarial perturbations
Konda Reddy Mopuri
Utsav Garg
R. Venkatesh Babu
AAML
83
206
0
18 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
299
12,060
0
19 Jun 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
177
4,359
0
20 Mar 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
762
36,781
0
25 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
256
8,550
0
16 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
529
5,897
0
08 Jul 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
872
27,350
0
02 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,099
0
18 May 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
269
19,045
0
20 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
447
43,635
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
Fine-Grained Visual Classification of Aircraft
Fine-Grained Visual Classification of Aircraft
Subhransu Maji
Esa Rahtu
Arno Solin
Matthew Blaschko
Andrea Vedaldi
114
2,257
0
21 Jun 2013
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