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ORCIDJinseong Park 0001
Person information
- affiliation: Seoul National University, Department of Industrial Engineering, Seoul, South Korea
Other persons with the same name
- Jinseong Park (aka: Jin Seong Park) — disambiguation page
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Journal Articles
- 2026
[j5]Yujin Choi, Jinseong Park
, Youngjoo Park, Jaewook Lee, Junyoung Byun:
Differentially private upsampling for enhanced anomaly detection in imbalanced data. Eng. Appl. Artif. Intell. 163: 113124 (2026)- 2023
- [j4]Yujin Choi, Jinseong Park, Jaewook Lee, Hoki Kim:
Exploring Diverse Feature Extractions for Adversarial Audio Detection. IEEE Access 11: 2351-2360 (2023) - [j3]Jinseong Park, Hoki Kim, Yujin Choi, Woojin Lee, Jaewook Lee:
Fast sharpness-aware training for periodic time series classification and forecasting. Appl. Soft Comput. 144: 110467 (2023) - [j2]Jinseong Park, Yujin Choi, Junyoung Byun, Jaewook Lee, Saerom Park:
Efficient differentially private kernel support vector classifier for multi-class classification. Inf. Sci. 619: 889-907 (2023) - [j1]Hoki Kim, Jinseong Park, Jaewook Lee:
Generating Transferable Adversarial Examples for Speech Classification. Pattern Recognit. 137: 109286 (2023)
Conference and Workshop Papers
- 2026
- [c9]Jinseong Park, Seungyun Lee, Woojin Jeong, Yujin Choi, Jaewook Lee:
TimeBridge: Better Diffusion Prior Design with Bridge Models for Time Series Generation. KDD (1) 2026: 1135-1146 - 2025
- [c8]Yujin Choi, Youngjoo Park, Junyoung Byun, Jaewook Lee, Jinseong Park:
Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home? EMNLP (Findings) 2025: 8241-8258 - 2024
- [c7]Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park:
Fair Sampling in Diffusion Models through Switching Mechanism. AAAI 2024: 21995-22003 - [c6]Jinseong Park, Yujin Choi, Jaewook Lee:
In-Distribution Public Data Synthesis With Diffusion Models for Differentially Private Image Classification. CVPR 2024: 12236-12246 - [c5]Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim:
Are Self-Attentions Effective for Time Series Forecasting? NeurIPS 2024 - 2023
- [c4]Sungyoon Lee, Jinseong Park, Jaewook Lee:
Implicit Jacobian regularization weighted with impurity of probability output. ICML 2023: 19141-19184 - [c3]Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee:
Differentially Private Sharpness-Aware Training. ICML 2023: 27204-27224 - [c2]Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee:
Fantastic Robustness Measures: The Secrets of Robust Generalization. NeurIPS 2023 - 2021
- [c1]Sungyoon Lee, Woojin Lee, Jinseong Park, Jaewook Lee:
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples. NeurIPS 2021: 953-964
Informal and Other Publications
- 2025
- [i11]Yujin Choi, Youngjoo Park, Junyoung Byun, Jaewook Lee, Jinseong Park:
Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home? CoRR abs/2505.22061 (2025) - [i10]Jinseong Park, Yujin Choi, Jaewook Lee:
Multi-Class Support Vector Machine with Differential Privacy. CoRR abs/2510.04027 (2025) - 2024
- [i9]Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saeroom Park:
Fair Sampling in Diffusion Models through Switching Mechanism. CoRR abs/2401.03140 (2024) - [i8]Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim:
Are Self-Attentions Effective for Time Series Forecasting? CoRR abs/2405.16877 (2024) - [i7]Jinseong Park, Seungyun Lee, Woojin Jeong, Yujin Choi, Jaewook Lee:
Leveraging Priors via Diffusion Bridge for Time Series Generation. CoRR abs/2408.06672 (2024) - [i6]Hoki Kim, Jinseong Park, Yujin Choi, Seungyun Lee, Jaewook Lee:
BayesNAM: Leveraging Inconsistency for Reliable Explanations. CoRR abs/2411.06367 (2024) - [i5]Yujin Choi, Jinseong Park, Junyoung Byun, Jaewook Lee:
Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training. CoRR abs/2412.09842 (2024) - 2023
- [i4]Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee:
Stability Analysis of Sharpness-Aware Minimization. CoRR abs/2301.06308 (2023) - [i3]Hoki Kim, Jinseong Park, Yujin Choi, Woojin Lee, Jaewook Lee:
Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization. CoRR abs/2302.10181 (2023) - [i2]Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee:
Differentially Private Sharpness-Aware Training. CoRR abs/2306.05651 (2023) - 2022
- [i1]Hoki Kim, Jinseong Park, Jaewook Lee:
Comment on Transferability and Input Transformation with Additive Noise. CoRR abs/2206.09075 (2022)
Coauthor Index
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