Jinseong Park

25 papers A* 7Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differentially private upsampling for enhanced anomaly detection in imbalanced data.
Eng. Appl. Artif. Intell.
Yujin Choi, Jinseong Park, Youngjoo Park, Jaewook Lee, Junyoung Byun
2026 — conf
TimeBridge: Better Diffusion Prior Design with Bridge Models for Time Series Generation.
KDD (1)
Jinseong Park, Seungyun Lee, Woojin Jeong, Yujin Choi, Jaewook Lee
2025 J jnl
Multi-Class Support Vector Machine with Differential Privacy.
CoRR
Jinseong Park, Yujin Choi, Jaewook Lee
2025 — conf
Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?
EMNLP (Findings)
Yujin Choi, Youngjoo Park, Junyoung Byun, Jaewook Lee, Jinseong Park
2025 J jnl
Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?
CoRR
Yujin Choi, Youngjoo Park, Junyoung Byun, Jaewook Lee, Jinseong Park
2024 A* conf
Are Self-Attentions Effective for Time Series Forecasting?
NeurIPS
Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim
2024 J jnl
Are Self-Attentions Effective for Time Series Forecasting?
CoRR
Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim
2024 J jnl
BayesNAM: Leveraging Inconsistency for Reliable Explanations.
CoRR
Hoki Kim, Jinseong Park, Yujin Choi, Seungyun Lee, Jaewook Lee
2024 A* conf
Fair Sampling in Diffusion Models through Switching Mechanism.
AAAI
Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park
2024 J jnl
Fair Sampling in Diffusion Models through Switching Mechanism.
CoRR
Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saeroom Park
2024 A* conf
In-Distribution Public Data Synthesis With Diffusion Models for Differentially Private Image Classification.
CVPR
Jinseong Park, Yujin Choi, Jaewook Lee
2024 J jnl
Leveraging Priors via Diffusion Bridge for Time Series Generation.
CoRR
Jinseong Park, Seungyun Lee, Woojin Jeong, Yujin Choi, Jaewook Lee
2024 J jnl
Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training.
CoRR
Yujin Choi, Jinseong Park, Junyoung Byun, Jaewook Lee
2023 A* conf
Differentially Private Sharpness-Aware Training.
ICML
Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee
2023 J jnl
Differentially Private Sharpness-Aware Training.
CoRR
Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee
2023 J jnl
Efficient differentially private kernel support vector classifier for multi-class classification.
Inf. Sci.
Jinseong Park, Yujin Choi, Junyoung Byun, Jaewook Lee, Saerom Park
2023 J jnl
Exploring Diverse Feature Extractions for Adversarial Audio Detection.
IEEE Access
Yujin Choi, Jinseong Park, Jaewook Lee, Hoki Kim
2023 J jnl
Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization.
CoRR
Hoki Kim, Jinseong Park, Yujin Choi, Woojin Lee, Jaewook Lee
2023 A* conf
Fantastic Robustness Measures: The Secrets of Robust Generalization.
NeurIPS
Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee
2023 J jnl
Fast sharpness-aware training for periodic time series classification and forecasting.
Appl. Soft Comput.
Jinseong Park, Hoki Kim, Yujin Choi, Woojin Lee, Jaewook Lee
2023 J jnl
Generating Transferable Adversarial Examples for Speech Classification.
Pattern Recognit.
Hoki Kim, Jinseong Park, Jaewook Lee
2023 A* conf
Implicit Jacobian regularization weighted with impurity of probability output.
ICML
Sungyoon Lee, Jinseong Park, Jaewook Lee
2023 J jnl
Stability Analysis of Sharpness-Aware Minimization.
CoRR
Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee
2022 J jnl
Comment on Transferability and Input Transformation with Additive Noise.
CoRR
Hoki Kim, Jinseong Park, Jaewook Lee
2021 A* conf
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples.
NeurIPS
Sungyoon Lee, Woojin Lee, Jinseong Park, Jaewook Lee