Seungyong Moon
6 papers · 2019–2023 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(19)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Learning Types · Machine Learning
(5)
Artificial Intelligence
(3)
Reinforcement Learning
(3)
Core AI
(3)
Methods
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Deep Learning
(1)
Applications
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Processing
(1)
Keywords
adversarial attack
(3)
sample efficiency
(2)
black-box attack
(2)
offline reinforcement learning
(1)
policy gradient
(1)
query efficiency
(1)
gradient estimation
(1)
value function
(1)
bayesian optimization
(1)
bilevel optimization
(1)
ensemble method
(1)
randomized smoothing
(1)
adversarial defense
(1)
adversarial perturbation
(1)
proximal policy optimization
(1)
uncertainty estimation
(1)
black-box adversarial attack
(1)
discrete sequential data
(1)
categorical kernel
(1)
query-efficient attack
(1)
Papers
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
NeurIPS 2023
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
Rethinking Value Function Learning for Generalization in Reinforcement Learning
NeurIPS 2022
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
NeurIPS 2021
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization
ICML 2019