Seungyong Moon
6 papers · 2019–2023 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (3) π Cross-Pollinator (9)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(19)
Conferences
NIPS (3)
ICML (2)
AAAI (1)
Top co-authors
Keywords
adversarial attack
(3)
black-box attack
(2)
sample efficiency
(2)
offline reinforcement learning
(1)
policy gradient
(1)
query efficiency
(1)
gradient estimation
(1)
value function
(1)
bayesian optimization
(1)
ensemble method
(1)
randomized smoothing
(1)
adversarial defense
(1)
adversarial perturbation
(1)
bi-level optimization
(1)
proximal policy optimization
(1)
uncertainty estimation
(1)
black-box adversarial attack
(1)
discrete sequential datum
(1)
categorical kernel
(1)
query-efficient attack
(1)
Papers
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
NIPS 2023
Rethinking Value Function Learning for Generalization in Reinforcement Learning
NIPS 2022
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks
AAAI 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization
ICML 2022
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
NIPS 2021
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization
ICML 2019