Jinseong Park

Multi-Class Support Vector Machine with Differential Privacy

Jinseong Park, Yujin Choi, Jaewook Lee

[C] Advances in Neural Information Processing Systems (NeurIPS), 2025

Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?

Yujin Choi, Youngjoo Park, Junyoung Byun, Jaewook Lee, Jinseong Park^*

[C] EMNLP Findings, 2025

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

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)

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

Exploring Diverse Feature Extractions for Adversarial Audio Detection

Yujin Choi, Jinseong Park, Jaewook Lee, Hoki Kim

[J] IEEE Access, 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