Saerom Park
Saerom Park
Assistant professor in UNIST
Verified email at
Cited by
Cited by
Lipschitz-certifiable training with a tight outer bound
S Lee, J Lee, S Park
Advances in Neural Information Processing Systems 33, 16891-16902, 2020
HE-friendly algorithm for privacy-preserving SVM training
S Park, J Byun, J Lee, JH Cheon, J Lee
IEEE Access 8, 57414-57425, 2020
Semi-supervised distributed representations of documents for sentiment analysis
S Park, J Lee, K Kim
Neural Networks 119, 139-150, 2019
Predicting market impact costs using nonparametric machine learning models
S Park, J Lee, Y Son
PLoS One 11 (2), e0150243, 2016
Privacy-preserving fair learning of support vector machine with homomorphic encryption
S Park, J Byun, J Lee
Proceedings of the ACM Web Conference 2022, 3572-3583, 2022
Security-preserving Support Vector Machine with Fully Homomorphic Encryption.
S Park, J Lee, JH Cheon, J Lee, J Kim, J Byun
SafeAI@ AAAI 2301, 2019
Fairness Audit of Machine Learning Models with Confidential Computing
S Park, S Kim, Y Lim
Proceedings of the ACM Web Conference 2022, 3488-3499, 2022
Learning representative exemplars using one-class Gaussian process regression
Y Son, S Lee, S Park, J Lee
Pattern Recognition 74, 185-197, 2018
Efficient differentially private kernel support vector classifier for multi-class classification
J Park, Y Choi, J Byun, J Lee, S Park
Information Sciences 619, 889-907, 2023
Information-based boundary equilibrium generative adversarial networks with interpretable representation learning
J Hah, W Lee, J Lee, S Park
Computational Intelligence and Neuroscience 2018, 2018
Privacy‐preserving evaluation for support vector clustering
J Byun, J Lee, S Park
Electronics Letters 57 (2), 61-64, 2021
Learning of indiscriminate distributions of document embeddings for domain adaptation
S Park, W Lee, J Lee
Intelligent Data Analysis 23 (4), 779-797, 2019
Defensive denoising methods against adversarial attack
S Lee, J Lee
Inductive ensemble clustering using kernel support matching
S Park, J Hah, J Lee
Electronics Letters 53 (25), 1625-1626, 2017
Efficient homomorphic encryption framework for privacy-preserving regression
J Byun, S Park, Y Choi, J Lee
Applied Intelligence 53 (9), 10114-10129, 2023
Instance weighting domain adaptation using distance kernel
W Lee, J Lee, S Park
Industrial Engineering & Management Systems 17 (2), 334-340, 2018
Stability Analysis of Denoising Autoencoders Based on Dynamical Projection System
S Park, J Lee
IEEE Transactions on Knowledge and Data Engineering 33 (8), 3155-3159, 2020
Efficient Generation of Program Execution Hash
E Ahn, S Kim, S Park, JU Hou, D Jang
IEEE Access 10, 61707-61720, 2022
Density-based Representation Learning with Applications to Sentiment Analysis and Domain Adaptation
S Park
Semi-supervised Document Embedding Adjusting Local Structure for Sentiment Analysis
HJ Saerom Park, Jaewook Lee, Kyoungok Kim
the WiML 2016 Workshop joint with NIPS 2016, 0
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Articles 1–20