Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization. - Seungyong Moon; Gaon An; Hyun Oh Song (ICML, 2019)

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble. - Gaon An; Seungyong Moon; Jang-Hyun Kim; Hyun Oh Song (NeurIPS, 2021)

Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks. - Seungyong Moon; Gaon An; Hyun Oh Song (AAAI, 2022)

Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization. - Deokjae Lee; Seungyong Moon; Junhyeok Lee 004; Hyun Oh Song (ICML, 2022)

Rethinking Value Function Learning for Generalization in Reinforcement Learning. - Seungyong Moon; JunYeong Lee; Hyun Oh Song (NeurIPS, 2022)

Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning. - Seungyong Moon; Junyoung Yeom; Bumsoo Park; Hyun Oh Song (NeurIPS, 2023)

Guided Stream of Search: Learning to Better Search with Language Models via Optimal Path Guidance. - Seungyong Moon; Bumsoo Park; Hyun Oh Song (CoRR, 2024)