2 papers
cs.CV2026
Stake the Points: Structure-Faithful Instance Unlearning
Kiseong Hong, JungKyoo Shin, Eunwoo Kim
Machine unlearning (MU) addresses privacy risks in pretrained models. The main goal of MU is to remove the influence of designated data while preserving the utility of retained kno…
cs.CV2025
RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning
Kiseong Hong, Gyeong-hyeon Kim, Eunwoo Kim
Prompt-based continual learning provides a rehearsal-free solution by tuning small sets of parameters while keeping pre-trained models frozen. To meet the complex demands of sequen…