2025 Under review at AISTATS26 A Unified Framework for Comparing Distribution Matching Methods Across Trustworthy Machine Learning Tasks Brian Ko, Ziyu Gong, Jim Lim, and David Inouye 2025 PDF Under review at ICLR26 On The Fragility of Benchmark Contamination Detection in Reasoning Models 2025 PDF 2023 IEEE RO-MAN Oral Backward Curriculum Reinforcement Learning Brian 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 Brian 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