2 papers
cs.LG2026
Quadratic Upper Bound for Boosting Robustness
Euijin You, Hyang-Won Lee
Fast adversarial training (FAT) aims to enhance the robustness of models against adversarial attacks with reduced training time, however, FAT often suffers from compromised robustn…
cs.AI2025
Learning Generalizable Prompt for CLIP with Class Similarity Knowledge
Sehun Jung, Hyang-won Lee
In vision-language models (VLMs), prompt tuning has shown its effectiveness in adapting models to downstream tasks. However, learned prompts struggle to generalize to unseen classe…