1 citations · 1 across the 2 of their papers we have counts for
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★ 1 cited
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…