About
I am an AI research fellow at Korea Institute for Advanced Study
(KIAS) as a part of my alternative military service as a technical research personnel.
Currently, I am seeking collaborations in the fields of AI safety and time series analysis.
Additionally, I'm interested in short-term international research visits as a Postdoctoral Researcher in late 2025, lasting between 3 to 6 months.
B.S. (IME, POSTECH) →
M.S./Ph.D. (SCLF Lab, IE, SNU) →
Postdoc (CAINS,
KIAS)
Topics of interest:
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SAFE AI
- (i) Generative diffusion models under limited data circumstances, such as privacy (CVPR'24) and fairness (AAAI'24).
- (ii) Privacy-preserving methods to mitigate privacy-utility trade-offs (ICML'23, Information Sciences).
- (iii) Defense methods against various attacks to address privacy and safety issues in AI model attacks (NeurIPS'21, NeurIPS'23, Pattern Recognition).
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Time series analysis
- (i) Synthetic time series data (arXiv) and its real-world applications, such as in finance (Comp' Econ').
- (ii) Time series forecasting (NeurIPS'24) and generalization to mitigate the performance gap between training and test accuracies (Applied Soft Computing, ICML'23).
News
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Mar 2025. I moved to KIAS as a AI Research Fellow!
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July 2024. I am attending ICML 2024 in person. See you in Vienna!
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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!
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January 2024. One paper concering fairness of diffusion model is accepted by AAAI 2024. I am attending Vancouver in person!
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December 2023. One paper concerning robust generalization is accepted by NeurIPS 2023.
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July 2023. Two papers concering privacy and generalization are accepted by ICML 2023. I am attending Hawaii in person!
Publications
Most recent publications on Google Scholar.
[J]: Journal, [C]: Conference, [W]: Workshop. † indicates equal contribution.
[Selected papers]
Are Self-Attentions Effective for Time Series Forecasting?
Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim
[C] Advances in Neural Information Processing Systems (NeurIPS), 2024
Modeling Asset Price Process: An Approach for Imaging Price Chart with Generative Diffusion Models
Jinseong Park, Hyungjin Ko, Jaewook Lee
[J] Computational Economics, 2024
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
[Preprints and all papers]
Leveraging Priors via Diffusion Bridge for Time Series Generation
Jinseong Park, Seungyun Lee, Woojin Jeong, Yujin Choi, 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
Vitæ
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Seoul, KoreaMar'20 - Feb'25
M.S./Ph.D. in Industrial Engineering - Seoul National University (SNU)
Advised by Prof. Jaewook Lee in Statistical Learning & Computational Finance (SLCF) Lab.
Ph.D. (Mar'22 - Feb'25) and M.S. (Mar'20 - Feb'22).
Thesis: Generalization Frameworks for Temporal and Private Deep Learning: From Synthetic Data Generation to Robust Optimization -
Graz, AustriaMar'19 - Aug'19
B.S. in Mechanical Engineering (Study Abroad) - Technische Universität Graz
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Pohang, KoreaMar'16 - Feb'20
B.S. in Industrial and Management Engineering - Pohang University of Science and Technology (POSTECH)
Experience
[Project] COSMAX Dec. 2023 - Sep. 2024
Deep learning prediction and generative models for color cosmetics
[Project] LNG industry research project with POSCO EnergySep. 2019 - Dec. 2019
Researcher, with Prof. Ribin Seo at POSTECH
[Lecturer] Soongsil UniversitySep. 2024 - Feb. 2025
Analysis of Financial Time Series, Fall Semester 2024, School of Finance
[Invited Talks] DesiloJul. 2024
Deep Learning with Differential Privacy
[Attendee] 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
[Intern] Industrial Data Engineering & Analytics (IDEA) Lab.Sep. 2019 - Dec. 2019
Research Intern, hosted by Prof. Hyunbo Cho at POSTECH
[Intern] SK TelecomJun. 2018 - Aug. 2018
Intern, R&D Digital Transformation Team