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Adversarial Attacks on Foundational Vision Models

Adversarial Attacks on Foundational Vision Models

28 August 2023

Nathan Inkawhich

Gwendolyn McDonald

ArXiv (abs)PDF HTML Github

Papers citing "Adversarial Attacks on Foundational Vision Models"

10 / 10 papers shown

Improving Generalizability and Undetectability for Targeted Adversarial Attacks on Multimodal Pre-trained Models

Improving Generalizability and Undetectability for Targeted Adversarial Attacks on Multimodal Pre-trained Models

379

4

0

24 Sep 2025

MoAPT: Mixture of Adversarial Prompt Tuning for Vision-Language Models

MoAPT: Mixture of Adversarial Prompt Tuning for Vision-Language Models

...

Jie Zhang

Jie Zhang

Xingxing Wei

615

1

0

23 May 2025

Robustness Tokens: Towards Adversarial Robustness of Transformers

Robustness Tokens: Towards Adversarial Robustness of TransformersEuropean Conference on Computer Vision (ECCV), 2025

S. Voloshynovskiy

282

1

0

13 Mar 2025

Task-Agnostic Attacks Against Vision Foundation Models

Task-Agnostic Attacks Against Vision Foundation Models

S. Voloshynovskiy

267

0

0

05 Mar 2025

Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning
for Vision-Language Models

Replace-then-Perturb: Targeted Adversarial Attacks With Visual Reasoning for Vision-Language Models

323

0

0

01 Nov 2024

Liveness Detection in Computer Vision: Transformer-based Self-Supervised
Learning for Face Anti-Spoofing

Liveness Detection in Computer Vision: Transformer-based Self-Supervised Learning for Face Anti-Spoofing

276

14

0

19 Jun 2024

TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial
Robustness and Generalization Ability

TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability

Hei Victor Cheng

304

9

0

27 May 2024

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

Michael W. Spratling

318

51

0

04 Mar 2024

Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial
Robustness

Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial RobustnessComputer Vision and Pattern Recognition (CVPR), 2024

421

54

0

09 Jan 2024

Adapting Contrastive Language-Image Pretrained (CLIP) Models for
Out-of-Distribution Detection

Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection

Félix D. P. Michels

Nikolas Adaloglou

273

0

0

10 Mar 2023

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