Saerom Park

srompark@unist.ac.kr

I am currently an Assistant Professor in the Industrial Engineering Department (IE) at Ulsan National Institute of Science and Technology (UNIST) with joint appointment in the Artificial Intelligence Graduate School (AIGS). I received a B.S. and Ph.D. in industrial engineering from Seoul National University in 2013 and 2018. My research focuses on safe machine learning, which includes: security-enhanced machine learning, privacy-preserving machine learning and fairness-aware machine learning.

I am actively looking for prospective undergraduate/master/Ph.D. students or postdocs. If you are interested in working with me, please feel free to send me an email with the information about your research interests and relevant background experiences.

news

Dec 30, 2021 My personal website is created!

selected publications (see all)

  1. Efficient differentially private kernel support vector classifier for multi-class classification
    Jinseong Park, Yujin Choi, Junyoung Byun, Jaewook Lee, and Saerom Park
    Information Sciences 2023
  2. WWW
    Fairness Audit of Machine Learning Models with Confidential Computing
    Saerom Park, Yeon-Sup Lim, and Seongmin Kim
    In The Web4Good special track at The ACM Web Conference 2022
  3. WWW
    Privacy-preserving Fair Learning of Support Vector Machine with Homomorphic Encryption
    Saerom Park, Junyoung Byun, and Joohee Lee
    In The Web4Good special track at The ACM Web Conference 2022
  4. NNs
    Semi-supervised distributed representations of documents for sentiment analysis
    Saerom Park, Jaewook Lee, and Kyoungok Kim
    Neural Networks 2019
  5. NeurIPs
    Lipschitz-Certifiable Training with a Tight Outer Bound
    Sungyoon Lee, Jaewook Lee, and Saerom Park
    In Advances in Neural Information Processing Systems 2020
  6. PR
    Learning representative exemplars using one-class Gaussian process regression
    Youngdoo Son, Sujee Lee, Saerom Park, and Jaewook Lee
    Pattern Recognition 2018
  7. IEEE TKDE
    Stability Analysis of Denoising Autoencoders Based on Dynamical Projection System
    Saerom Park, and Jaewook Lee
    IEEE Transactions on Knowledge and Data Engineering 2021