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One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models

One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models

8 June 2024
Hao Fang
Jiawei Kong
Wenbo Yu
Bin Chen
Jiawei Li
Hao Wu
Ke Xu
Ke Xu
    AAML
    VLM
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Papers citing "One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models"

17 / 17 papers shown
Title
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
29
0
0
08 May 2025
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
Haitong Liu
Kuofeng Gao
Yang Bai
Jinmin Li
Jinxiao Shan
Tao Dai
Shu-Tao Xia
AAML
62
1
0
26 Mar 2025
Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving
Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving
Prashant Shekhar
Bidur Devkota
Dumindu Samaraweera
Laxima Niure Kandel
Manoj Babu
AAML
40
0
0
22 Feb 2025
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in
  Vision-Language Models
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models
Xin Wang
Kai-xiang Chen
Jiaming Zhang
Jingjing Chen
Xingjun Ma
AAML
VPVLM
VLM
80
1
0
20 Nov 2024
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
Yunhan Zhao
Xiang Zheng
Lin Luo
Yige Li
Xingjun Ma
Yu-Gang Jiang
VLM
AAML
38
3
0
28 Oct 2024
Efficient and Effective Universal Adversarial Attack against
  Vision-Language Pre-training Models
Efficient and Effective Universal Adversarial Attack against Vision-Language Pre-training Models
Fan Yang
Yihao Huang
K. Wang
Ling Shi
G. Pu
Yang Liu
H. Wang
AAML
VLM
15
1
0
15 Oct 2024
A Closer Look at GAN Priors: Exploiting Intermediate Features for
  Enhanced Model Inversion Attacks
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks
Yixiang Qiu
Hao Fang
Hongyao Yu
Bin Chen
Meikang Qiu
Shu-Tao Xia
AAML
28
10
0
18 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
36
4
0
14 Jul 2024
Video Watermarking: Safeguarding Your Video from (Unauthorized)
  Annotations by Video-based LLMs
Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs
Jinmin Li
Kuofeng Gao
Yang Bai
Jingyun Zhang
Shu-Tao Xia
22
4
0
02 Jul 2024
GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural
  Architecture Search
GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search
Wenbo Yu
Hao Fang
Bin Chen
Xiaohang Sui
Chuan Chen
Hao Wu
Shu-Tao Xia
Ke Xu
AAML
AI4CE
24
7
0
31 May 2024
LCM: Locally Constrained Compact Point Cloud Model for Masked Point
  Modeling
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
Yaohua Zha
Naiqi Li
Yanzi Wang
Tao Dai
Hang Guo
Bin Chen
Zhi Wang
Zhihao Ouyang
Shu-Tao Xia
Mamba
31
8
0
27 May 2024
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
184
289
0
16 May 2022
VLP: A Survey on Vision-Language Pre-training
VLP: A Survey on Vision-Language Pre-training
Feilong Chen
Duzhen Zhang
Minglun Han
Xiuyi Chen
Jing Shi
Shuang Xu
Bo Xu
VLM
74
208
0
18 Feb 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
380
4,010
0
28 Jan 2022
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
293
2,875
0
11 Feb 2021
Unified Vision-Language Pre-Training for Image Captioning and VQA
Unified Vision-Language Pre-Training for Image Captioning and VQA
Luowei Zhou
Hamid Palangi
Lei Zhang
Houdong Hu
Jason J. Corso
Jianfeng Gao
MLLM
VLM
250
922
0
24 Sep 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
253
2,899
0
04 Nov 2016
1