Sangkyun Lee
7 papers · 2012–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Half
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Architectures
(2)
Core AI
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Optimization
(2)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Learning Types · Deep Learning
(1)
Keywords
representation learning
(2)
contrastive learning
(2)
model stealing
(2)
convex optimization
(1)
text classification
(1)
adversarial training
(1)
query efficiency
(1)
regularized learning
(1)
dual averaging
(1)
linear approximation
(1)
proximal algorithm
(1)
deep neural network
(1)
adversarial defense
(1)
adversarial perturbation
(1)
model explanation
(1)
class activation map
(1)
manifold identification
(1)
interpretability method
(1)
interpretable ai
(1)
saddle point optimization
(1)
Papers
Cluster-Guided Adversarial Perturbations for Robust Contrastive Learning
WACV 2026
Contrast-CAT: Contrasting Activations for Enhanced Interpretability in Transformer-based Text Classifiers
UAI 2025
SwiftThief: Enhancing Query Efficiency of Model Stealing by Contrastive Learning
IJCAI 2024
Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration
IJCAI 2022
Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural Nets
IJCAI 2022
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm
AISTATS 2016
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning
JMLR 2012