Saerom Park

According to our database, Saerom Park authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Verifiable computation over encrypted data via MPC-in-the-head zero-knowledge proofs.

Joohee Lee, Sangrae Cho, Soohyung Kim, Saerom Park

Int. J. Inf. Sec., February, 2025

2024

Privacy-preserving inference resistant to model extraction attacks.

Junyoung Byun, Yujin Choi, Jaewook Lee, Saerom Park

Expert Syst. Appl., 2024

The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability.

Stephen Casper, Jieun Yun, Joonhyuk Baek, Yeseong Jung, Minhwan Kim, Kiwan Kwon, Saerom Park, Hayden Moore, David Shriver, Marissa Connor, Keltin Grimes, Angus Nicolson, Arush Tagade, Jessica Rumbelow, Hieu Minh Nguyen, Dylan Hadfield-Menell

CoRR, 2024

Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption.

Jaeyun Kim, Saerom Park, Joohee Lee, Jung Hee Cheon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fair Sampling in Diffusion Models through Switching Mechanism.

Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Efficient homomorphic encryption framework for privacy-preserving regression.

Junyoung Byun, Saerom Park, Yujin Choi, Jaewook Lee

Appl. Intell., May, 2023

Efficient differentially private kernel support vector classifier for multi-class classification.

Jinseong Park, Yujin Choi, Junyoung Byun, Jaewook Lee, Saerom Park

Inf. Sci., 2023

2022

Efficient Generation of Program Execution Hash.

Eunyeong Ahn, Sunjin Kim, Saerom Park, Jong-Uk Hou, Daehee Jang

IEEE Access, 2022

Fairness Audit of Machine Learning Models with Confidential Computing.

Saerom Park, Seongmin Kim, Yeon-sup Lim

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Privacy-Preserving Fair Learning of Support Vector Machine with Homomorphic Encryption.

Saerom Park, Junyoung Byun, Joohee Lee

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Stability Analysis of Denoising Autoencoders Based on Dynamical Projection System.

Saerom Park, Jaewook Lee

IEEE Trans. Knowl. Data Eng., 2021

2020

HE-Friendly Algorithm for Privacy-Preserving SVM Training.

Saerom Park, Junyoung Byun, Joohee Lee, Jung Hee Cheon, Jaewook Lee

IEEE Access, 2020

Lipschitz-Certifiable Training with a Tight Outer Bound.

Sungyoon Lee, Jaewook Lee, Saerom Park

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Semi-supervised distributed representations of documents for sentiment analysis.

Saerom Park, Jaewook Lee, Kyoungok Kim

Neural Networks, 2019

Learning of indiscriminate distributions of document embeddings for domain adaptation.

Saerom Park, Woojin Lee, Jaewook Lee

Intell. Data Anal., 2019

Security-preserving Support Vector Machine with Fully Homomorphic Encryption.

Saerom Park, Jaewook Lee, Jung Hee Cheon, Juhee Lee, Jaeyun Kim, Junyoung Byun

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2018

Learning representative exemplars using one-class Gaussian process regression.

Youngdoo Son, Sujee Lee, Saerom Park, Jaewook Lee

Pattern Recognit., 2018

Information-Based Boundary Equilibrium Generative Adversarial Networks with Interpretable Representation Learning.

Junghoon Hah, Woojin Lee, Jaewook Lee, Saerom Park

Comput. Intell. Neurosci., 2018