Ko, Myeongseob

5 publications

NeurIPS 2025 Probing Hidden Knowledge Holes in Unlearned LLMs Myeongseob Ko, Hoang Anh Just, Charles Fleming, Ming Jin, Ruoxi Jia

NeurIPS 2024 Boosting Alignment for Post-Unlearning Text-to-Image Generative Models Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia

CVPR 2024 The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes Myeongseob Ko, Feiyang Kang, Weiyan Shi, Ming Jin, Zhou Yu, Ruoxi Jia

ICLR 2023 LAVA: Data Valuation Without Pre-Specified Learning Algorithms Hoang Anh Just, Feiyang Kang, Tianhao Wang, Yi Zeng, Myeongseob Ko, Ming Jin, Ruoxi Jia

ICCV 2023 Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia