Lee, Sangkyun

10 publications

UAI 2025 Contrast-CAT: Contrasting Activations for Enhanced Interpretability in Transformer-Based Text Classifiers Sungmin Han, Jeonghyun Lee, Sangkyun Lee

IJCAI 2024 SwiftThief: Enhancing Query Efficiency of Model Stealing by Contrastive Learning Jeonghyun Lee, Sungmin Han, Sangkyun Lee

IJCAI 2022 Libra-CAM: An Activation-Based Attribution Based on the Linear Approximation of Deep Neural Nets and Threshold Calibration Sangkyun Lee, Sungmin Han

IJCAI 2022 Model Stealing Defense Against Exploiting Information Leak Through the Interpretation of Deep Neural Nets Jeonghyun Lee, Sungmin Han, Sangkyun Lee

AISTATS 2016 Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm Sangkyun Lee, Damian Brzyski, Malgorzata Bogdan

MLJ 2013 Spatio-Temporal Random Fields: Compressible Representation and Distributed Estimation Nico Piatkowski, Sangkyun Lee, Katharina Morik

JMLR 2012 Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning Sangkyun Lee, Stephen J. Wright

ECML-PKDD 2012 Separable Approximate Optimization of Support Vector Machines for Distributed Sensing Sangkyun Lee, Marco Stolpe, Katharina Morik

ICML 2011 Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning Sangkyun Lee, Stephen J. Wright

ECML-PKDD 2009 Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines Sangkyun Lee, Stephen J. Wright