2025

• Joohee Lee, Sangrae Cho, Soohyung Kim, Saerom Park*, "Verifiable computation over encrypted data via MPC-in-the-head zero-knowledge proofs", International Journal of Information Security, 2025

2024

• Junyoug Byun, Yujin Choi, Jaewook Lee, and Saerom Park*, “Privacy-preserving Inference Resistant to Model Extraction Attacks”, accepted to Expert Systems With Applications [SCIE]

• Jaeyun Kim, Jieun Yun, Jung Hee Cheon, Saerom Park*, "Efficient Privacy-Preserving Counting Method with Homomorphic Encryption", ICISC, Nov.20-22, 2024

• Jaeyun Kim, Saerom Park*, Joohee Lee, Jung-Hee Cheon, “Privacy-Preserving Embedding via Look-up Table Evaluation with Homomorphic Encryption”, ICML, Jul. 21-27, 2024

• Casper, S., Yun, J., Baek, J., Jung, Y., Kim, M., Kwon, K. Park, S et al, "The SaTML'24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability." arXiv preprint arXiv:2404.02949 (2024).

• Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park*, “Fair Sampling in Diffusion Models through Switching Mechanism”, AAAI, Feb. 20-27, 2024

2023

• Jinseong Park, Yujin Choi, Junyoung Byun, Jaewook Lee, and Saerom Park*, “Efficient Differentially Private Kernel Support Vector Classifier for Multi-class Classification”, Informant Sciences, Jan. 2023 [SCIE]

2022

• Saerom Park, Junyoung Byun and Joohee Lee*, “Privacy-preserving Fair Learning of Support Vector Machine with Homomorphic Encryption”, The ACM Web Conference (WWW) 2022, Apr. 25-29, 2022

• Saerom Park, Sungmin Kim* and Yeon-sup Lim, “Fairness Audit of Machine Learning Models with Confidential Computing”, The ACM Web Conference (WWW) 2022, Apr. 25-29, 2022

• Junyoung Byun, Saerom Park, Yujin Choi, and Jaewook Lee*. “Efficient homomorphic encryption framework for privacy-preserving regression”, Applied Intelligence, Aug. 15, 2022. [SCIE]

• Eunyeong Ahn, Sunjin Kim, Saerom Park, Jong-Uk Hou, and Daehee Jang*. “Efficient Generation of Program Execution Hash”, IEEE Access, Jun. 08, 2022. [SCIE]

2021

• Saerom Park and Jaewook Lee. “Stability Analysis of Denoising Autoencoder based on Dynamical Projection System”, IEEE Transactions on Knowledge Data Engineering, Aug. 2021 [SCIE]

• Junyoung Byun, Jaewook Lee and Saerom Park*. “Privacy-Preserving Evaluation for Support Vector Clustering”, Electronics Letters, Jan. 1, 2021. [SCIE]

2020

• Sungyoon Lee, Jaewook Lee and Saerom Park*, “Lipschitz-Certifiable Training with a Tight Outer Bound”, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Dec. 7-12, 2020

• Saerom Park, Junyoung Byun, Joohee Lee, Jung-Hee Choen and Jaewook Lee. “HE-Friendly Algorithm for Privacy-Preserving SVM Training”, IEEE Access, Mar. 18 2020 [SCIE]

2019

• Saerom Park, Jaewook Lee, and Kyoungok Kim*. “Semi-supervised Distributed Representation of documents for Sentiment Analysis”, Neural Networks, Nov. 2019 [SCIE]

• Saerom Park, Jaeyun Kim, Joohee Lee, Junyoung Byun, Jung-Hee Cheon, and Jaewook Lee, “Privacy- Preserving Support Vector Machine with Fully-Homomorphic Encryption”, AAAI 2019 workshop AI and Safety, Honolulu, USA, Jan. 27.

• Hyungjin Ko, Jaewook Lee, Junyoung Byun, Bumho Son, and Saerom Park*, “Loss-driven Ensemble Deep Learning for Online Time Series Analysis”, Sustainability, Jun. 25, 2019 [SSCI]

• Saerom Park, Woojin Lee, and Jaewook Lee. “Learning of indiscriminate distributions of document embeddings for domain adaptation”, Intelligent Data Analysis, Sep. 26, 2019 [SCIE]

2018

• Youngdoo Son, Sujee Lee, Saerom Park, and Jaewook Lee*. “Learning Representative Exemplars Using Gaussian Process Regression”, Pattern Recognition, (2018) [SCIE]

• Sungyoon Lee, Saerom Park and Jaewook Lee, “Defensive denoising methods against adversarial attack”, KDD 2018 deep learning day workshop, London, UK, Aug. 20, 2018

• Junghoon Hah, Jaewook Lee, Woojin Lee and Saerom Park*. “Information-based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning”, Computational Intelligence and Neuroscience, Oct. 17, 2018 [SCIE]

• Woojin Lee, Jaewook Lee, and Saerom Park*. “Instance Weighting Domain Adaptation Using Distance Kernel”, IEMS, Jun. 2018 [Scopus]

2017

• Saerom Park, Junghoon Hah, and Jaewook Lee*. "Inductive ensemble clustering using kernel support matching." Electronics Letters, Vol. 53(25) Dec. 2017 [SCIE]

2016

• Saerom Park, Jaewook Lee, Kyoungok Kim, and Huisu Jang, “Semi-supervised Document Embedding Adjusting Local Structure for Sentiment Analysis”, the WiML 2016 Workshop joint with NIPS 2016, Barcelona, Spain, Dec. 2016

• Saerom Park, Jaewook Lee, “Semi-supervised Distributed Representations of Text Documents Reflecting Word Sentiments”, 2016 INFORMS Analytics Conference, Orlando, USA, April 10-12, 2016

• Saerom Park, Jaewook Lee, and Youngdoo Son. "Predicting Market Impact Costs Using Nonparametric Machine Learning Models." PloS one, Vol. 11(2) Feb. 29, 2016 [SCIE]

2015

• Saerom Park, Youngdoo Son, Jaewook Lee, “Analyzing market impact using nonparametric models”, Quantitative Methods in Finance 2015 Conference, Sydney, Austrailia, Dec. 15-18, 2015

• Jaewook Lee and Saerom Park, “Transfer of semi-supervised manifold learning for efficient sentiment analysis”, 27th European Conference on Operational Research, Glasgow, U.K., July 12-15, 2015

2014

• Youngdoo Son, Saerom Park, Hyeongmin Byun, and Jaewook Lee, “Computing default probability using ensemble method”, Asia Pacific Industrial Engineering & Management Systems Conference, Jeiju, Oct. 2014

Domestic