Cai-Chang Ding

MTDDAPT: Multi-Modal Text Distribution-Aware Deep Adversarial Prompt Tuning for Robust Vision-Language Representation Learning

: Vision-language models (VLMs), such as CLIP, have achieved competitive performance in open-vocabulary visual recognition, but they remain vulnerable to adversarial examples. This vulnerability may affect the reliability of AI-based visual perception models when image inputs are perturbed. Existing robustness-oriented...