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Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks

Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks

30 July 2024
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
    AAML
    VLM
ArXivPDFHTML

Papers citing "Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks"

50 / 59 papers shown
Title
Breaking Dataset Boundaries: Class-Agnostic Targeted Adversarial Attacks
Breaking Dataset Boundaries: Class-Agnostic Targeted Adversarial Attacks
Taïga Gonçalves
Tomo Miyazaki
S. Omachi
OOD
AAML
64
0
0
27 May 2025
Prompt-driven Transferable Adversarial Attack on Person Re-Identification with Attribute-aware Textual Inversion
Prompt-driven Transferable Adversarial Attack on Person Re-Identification with Attribute-aware Textual Inversion
Yuan Bian
Min Liu
Yunqi Yi
Xueping Wang
Yaonan Wang
AAML
72
0
0
27 Feb 2025
Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics
Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics
Georgii Gotin
E. Shumitskaya
Anastasia Antsiferova
D. Vatolin
AAML
69
0
0
14 Jan 2025
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
122
1
0
06 Sep 2024
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
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
56
32
0
21 Sep 2023
PromptStyler: Prompt-driven Style Generation for Source-free Domain
  Generalization
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
Junhyeong Cho
Gilhyun Nam
Sungyeon Kim
Hunmin Yang
Suha Kwak
VLM
OOD
TTA
73
49
0
27 Jul 2023
PØDA: Prompt-driven Zero-shot Domain Adaptation
PØDA: Prompt-driven Zero-shot Domain Adaptation
Mohammad Fahes
Tuan-Hung Vu
Andrei Bursuc
Patrick Pérez
Raoul de Charette
VLM
75
47
0
06 Dec 2022
Using Language to Extend to Unseen Domains
Using Language to Extend to Unseen Domains
Lisa Dunlap
Clara Mohri
Devin Guillory
Han Zhang
Trevor Darrell
Joseph E. Gonzalez
Aditi Raghunanthan
Anja Rohrbach
VLM
60
35
0
18 Oct 2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative
  Adversarial Attacks
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
Abhishek Aich
Shasha Li
Chengyu Song
M. Salman Asif
S. Krishnamurthy
Amit K. Roy-Chowdhury
AAML
49
9
0
20 Sep 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks
GAMA: Generative Adversarial Multi-Object Scene Attacks
Abhishek Aich
Calvin-Khang Ta
Akash Gupta
Chengyu Song
S. Krishnamurthy
M. Salman Asif
Amit K. Roy-Chowdhury
AAML
76
18
0
20 Sep 2022
Learning Visual Representation from Modality-Shared Contrastive
  Language-Image Pre-training
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training
Haoxuan You
Luowei Zhou
Bin Xiao
Noel Codella
Yu Cheng
Ruochen Xu
Shih-Fu Chang
Lu Yuan
CLIP
VLM
54
47
0
26 Jul 2022
Frequency Domain Model Augmentation for Adversarial Attack
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
AAML
55
161
0
12 Jul 2022
Unified Contrastive Learning in Image-Text-Label Space
Unified Contrastive Learning in Image-Text-Label Space
Jianwei Yang
Chunyuan Li
Pengchuan Zhang
Bin Xiao
Ce Liu
Lu Yuan
Jianfeng Gao
VLM
SSL
118
226
0
07 Apr 2022
Conditional Prompt Learning for Vision-Language Models
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VLM
CLIP
VPVLM
98
1,344
0
10 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
237
30,089
0
01 Mar 2022
Vision-Language Pre-Training with Triple Contrastive Learning
Vision-Language Pre-Training with Triple Contrastive Learning
Jinyu Yang
Jiali Duan
Son N. Tran
Yi Xu
Sampath Chanda
Liqun Chen
Belinda Zeng
Trishul Chilimbi
Junzhou Huang
VLM
96
294
0
21 Feb 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
81
65
0
27 Jan 2022
Detecting AutoAttack Perturbations in the Frequency Domain
Detecting AutoAttack Perturbations in the Frequency Domain
P. Lorenz
P. Harder
Dominik Strassel
Margret Keuper
J. Keuper
AAML
39
13
0
16 Nov 2021
FILIP: Fine-grained Interactive Language-Image Pre-Training
FILIP: Fine-grained Interactive Language-Image Pre-Training
Lewei Yao
Runhu Huang
Lu Hou
Guansong Lu
Minzhe Niu
Hang Xu
Xiaodan Liang
Zhenguo Li
Xin Jiang
Chunjing Xu
VLM
CLIP
86
633
0
09 Nov 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
459
2,382
0
02 Sep 2021
On Generating Transferable Targeted Perturbations
On Generating Transferable Targeted Perturbations
Muzammal Naseer
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Fatih Porikli
AAML
63
74
0
26 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
818
29,167
0
26 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
419
3,826
0
11 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
110
200
0
31 Jan 2021
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
538
40,739
0
22 Oct 2020
Debiased Contrastive Learning
Debiased Contrastive Learning
Ching-Yao Chuang
Joshua Robinson
Yen-Chen Lin
Antonio Torralba
Stefanie Jegelka
SSL
61
560
0
01 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
D. Song
Jacob Steinhardt
Justin Gilmer
OOD
308
1,727
0
29 Jun 2020
A Self-supervised Approach for Adversarial Robustness
A Self-supervised Approach for Adversarial Robustness
Muzammal Naseer
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Fatih Porikli
AAML
66
257
0
08 Jun 2020
Towards Frequency-Based Explanation for Robust CNN
Towards Frequency-Based Explanation for Robust CNN
Zifan Wang
Yilin Yang
Ankit Shrivastava
Varun Rawal
Zihao Ding
AAML
FAtt
33
48
0
06 May 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
211
1,837
0
03 Mar 2020
Enhancing Cross-task Black-Box Transferability of Adversarial Examples
  with Dispersion Reduction
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
Yantao Lu
Yunhan Jia
Jianyu Wang
Bai Li
Weiheng Chai
Lawrence Carin
Senem Velipasalar
AAML
56
81
0
22 Nov 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial
  Attacks
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
Jiadong Lin
Chuanbiao Song
Kun He
Liwei Wang
John E. Hopcroft
AAML
64
565
0
17 Aug 2019
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
193
1,465
0
16 Jul 2019
Learning Robust Global Representations by Penalizing Local Predictive
  Power
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
OOD
109
957
0
29 May 2019
Cross-Domain Transferability of Adversarial Perturbations
Cross-Domain Transferability of Adversarial Perturbations
Muzammal Naseer
Salman H. Khan
M. H. Khan
Fahad Shahbaz Khan
Fatih Porikli
AAML
80
145
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
843
0
05 Apr 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
109
1,709
0
13 Feb 2019
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
114
3,004
0
31 Jul 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
97
1,116
0
19 Mar 2018
Generative Adversarial Perturbations
Generative Adversarial Perturbations
Omid Poursaeed
Isay Katsman
Bicheng Gao
Serge J. Belongie
AAML
GAN
WIGM
64
355
0
06 Dec 2017
Countering Adversarial Images using Input Transformations
Countering Adversarial Images using Input Transformations
Chuan Guo
Mayank Rana
Moustapha Cissé
Laurens van der Maaten
AAML
102
1,400
0
31 Oct 2017
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial
  Examples
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Pin-Yu Chen
Yash Sharma
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
AAML
64
641
0
13 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
393
26,365
0
05 Sep 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
277
12,029
0
19 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
642
130,942
0
12 Jun 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
723
36,708
0
25 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
237
8,548
0
16 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
517
5,893
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
2.0K
193,426
0
10 Dec 2015
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