I am a 3rd year Ph.D. student at at Seoul National University (SNU), advised by Prof. Jaewook Lee in Statistical Learning & Computational Finance (SLCF) Lab. I am also fulfilling my military service as part of my Ph.D. program.
Prior to this, I received M.S. in Industrial Engineering at SNU and B.S. in Industrial and Management Engineering at Pohang University of Science and Technology (POSTECH).
Topics of interest (publications with overlap):
March 2024. One paper concering differntial privacy with in-distribution public data synthesis using diffusion model is accepted by CVPR 2024. I am attending Seattle in person!
January 2024. One paper concering fairness of diffusion model is accepted by AAAI 2024. I am attending Vancouver in person!
December 2023. One paper concerning robust generalization is accepted by NeurIPS 2023.
July 2023. Two papers concering privacy and generalization are accepted by ICML 2023. I am attending Hawaii in person!
Most recent publications on Google Scholar.
[J]: Journal, [C]: Conference, [W]: Workshop. † indicates equal contribution.
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification
Jinseong Park†, Yujin Choi†, Jaewook Lee
[C] The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Fair Sampling in Diffusion Models through Switching Mechanism
Yujin Choi†, Jinseong Park†, Hoki Kim, Jaewook Lee, Saerom Park
[C] Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024
Fantastic Robustness Measures: The Secrets of Robust Generalization
Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee
[C] Advances in Neural Information Processing Systems (NeurIPS), 2023
Differentially Private Sharpness-Aware Training
Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee
[C] International Conference on Machine Learning (ICML), 2023
Implicit Jacobian regularization weighted with impurity of probability output
Sungyoon Lee, Jinseong Park, Jaewook Lee
[C] International Conference on Machine Learning (ICML), 2023
Fast sharpness-aware training for periodic time series classification and forecasting
Jinseong Park, Hoki Kim, Yujin Choi, Woojin Lee, Jaewook Lee
[J] Applied Soft Computing, 2023
Generating Transferable Adversarial Examples for Speech Classification
Hoki Kim, Jinseong Park, Jaewook Lee
[J] Pattern Recognition, 2023
Efficient differentially private kernel support vector classifier for multi-class classification
Jinseong Park, Yujin Choi, Junyoung Byun, Jaewook Lee, Saerom Park
[J] Information Sciences, 2023
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples
Sungyoon Lee, Woojin Lee, Jinseong Park, Jaewook Lee
[C] Advances in Neural Information Processing Systems (NeurIPS), 2021
Exploring Generative AI for Modeling the Dynamics of Asset Price Process
Jinseong Park, Hyungjin Ko, Jaewook Lee
Preprint
Stability Analysis of Sharpness-Aware Minimization
Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee
Preprint
Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization
Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee
Preprint
Enhancing non-linear asset volatility forecasting models with investor sentiment and Explainable AI
Seungju Lee, Jinseong Park, Jaewook Lee
[W] Korea Computer Congress (KCC) XAI Workshop, 2023, Best Paper Award (2/37)
Exploring Diverse Feature Extractions for Adversarial Audio Detection
Yujin Choi, Jinseong Park, Jaewook Lee, Hoki Kim
[J] IEEE Access, 2023
Advised by Prof. Jaewook Lee in Statistical Learning & Computational Finance (SLCF) Lab.
Ph.D. (Mar. 2022 - Present) and M.S. (Mar. 2020 - Feb. 2022).
Graduate Summer School on Algorithmic FairnessJul. 2022
Take the summer school organized by Cynthia Dwork, Guy Rothblum, and Noa Dagan, Institute for Pure & Applied Mathematics (IPAM) at UCLA
Industrial Data Engineering & Analytics (IDEA) Lab.Sep. 2019 - Dec. 2019
Research Intern, hosted by Prof. Hyunbo Cho at POSTECH
LNG industry research project with POSCO EnergySep. 2019 - Dec. 2019
Researcher, with Prof. Ribin Seo at POSTECH
SK TelecomJun. 2018 - Aug. 2018
Intern, R&D Digital Transformation Team