2024 Pre-Print A Unified Framework for Comparing Distribution Matching Methods Across Trustworthy Machine Learning Tasks Kyung Min Ko, Ziyu Gong, Jim Lim, and David Inouye 2024 PDF 2023 IEEE RO-MAN Oral Backward Curriculum Reinforcement Learning Kyung Min Ko In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023 PDF Code Pre-Print V-advCSE: Virtual Adversarial Contrastive Learning for Sentence Embeddings Kyung Min Ko 2023 PDF Code Pre-Print Unmasking the Author: Exploiting Code Language Models and Contrastive Learning in Binary Code Authorship Attribution Kyung Min Ko, Nan Jiang, and Lin Tan 2023 PDF Code