Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

30 April 2024

Papers citing "Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective"

5 / 5 papers shown

Title
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 83 1 0 20 Nov 2024
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? Richard Ren Steven Basart Adam Khoja Alice Gatti Long Phan ... Alexander Pan Gabriel Mukobi Ryan H. Kim Stephen Fitz Dan Hendrycks ELM 23 19 0 31 Jul 2024
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models Xu Han Linghao Jin Xuezhe Ma Xiaofeng Liu AAML 18 3 0 02 Jul 2024
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
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 247 5,813 0 08 Jul 2016