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Sungyoon Lee
Sungyoon Lee
Department of Computer Science, Hanyang University
Verified email at hanyang.ac.kr - Homepage
Title
Cited by
Cited by
Year
Lipschitz-certifiable training with a tight outer bound
S Lee, J Lee, S Park
NeurIPS 2020, 2020
472020
Graddiv: Adversarial robustness of randomized neural networks via gradient diversity regularization
S Lee, H Kim, J Lee
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
352022
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples
S Lee, W Lee, J Park, J Lee
NeurIPS 2021, 2021
232021
A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution
S Lee, C Jang
ICLR 2023, 2023
62023
A Reparametrization-Invariant Sharpness Measure Based on Information Geometry
C Jang, S Lee, FC Park, YK Noh
NeurIPS 2022, 2022
52022
Defensive denoising methods against adversarial attack
S Lee, S Park, J Lee
KDD 2018 Deep Learning Day, 2018
52018
Bridged adversarial training
H Kim, W Lee, S Lee, J Lee
Neural Networks 167, 266-282, 2023
42023
Implicit Jacobian regularization weighted with impurity of probability output
S Lee, J Park, J Lee
ICML 2023, 2023
3*2023
Variational cycle-consistent imputation adversarial networks for general missing patterns
W Lee, S Lee, J Byun, H Kim, J Lee
Pattern Recognition, 2022
32022
Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors
S Lee, S Lee
arXiv preprint arXiv:2305.12883, 2023
2*2023
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Articles 1–10