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One Prompt Word is Enough to Boost Adversarial Robustness for
  Pre-trained Vision-Language Models

One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models

4 March 2024
Lin Li
Haoyan Guan
Jianing Qiu
Michael W. Spratling
    AAML
    VLM
    VPVLM
ArXivPDFHTML

Papers citing "One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models"

13 / 13 papers shown
Title
Generalizable Prompt Learning of CLIP: A Brief Overview
Generalizable Prompt Learning of CLIP: A Brief Overview
Fangming Cui
Yonggang Zhang
Xuan Wang
Xule Wang
Liang Xiao
VPVLM
VLM
63
0
0
03 Mar 2025
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
Mingkun Zhang
Keping Bi
Wei Chen
J. Guo
Xueqi Cheng
BDL
VLM
47
1
0
25 Feb 2025
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Zhifang Zhang
Shuo He
Bingquan Shen
Lei Feng
Lei Feng
AAML
34
0
0
29 Dec 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
74
1
0
22 Nov 2024
On the Adversarial Robustness of Multi-Modal Foundation Models
On the Adversarial Robustness of Multi-Modal Foundation Models
Christian Schlarmann
Matthias Hein
AAML
95
84
0
21 Aug 2023
Rethinking the Effect of Data Augmentation in Adversarial Contrastive
  Learning
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning
Rundong Luo
Yifei Wang
Yisen Wang
32
18
0
02 Mar 2023
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
Ming Tao
Bingkun Bao
Hao Tang
Changsheng Xu
DiffM
VLM
55
99
0
30 Jan 2023
Being Comes from Not-being: Open-vocabulary Text-to-Motion Generation
  with Wordless Training
Being Comes from Not-being: Open-vocabulary Text-to-Motion Generation with Wordless Training
Junfan Lin
Jianlong Chang
Lingbo Liu
Guanbin Li
Liang Lin
Qi Tian
Changan Chen
VGen
38
26
0
28 Oct 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Pau de Jorge
Adel Bibi
Riccardo Volpi
Amartya Sanyal
Philip H. S. Torr
Grégory Rogez
P. Dokania
AAML
40
45
0
02 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
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
319
2,108
0
02 Sep 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
293
2,875
0
11 Feb 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
207
668
0
19 Oct 2020
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