Jinseong Park

Orcid: 0000-0003-1931-8441

Affiliations:
  • Seoul National University, Department of Industrial Engineering, Seoul, South Korea


According to our database1, Jinseong Park authored at least 18 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training.
CoRR, 2024

BayesNAM: Leveraging Inconsistency for Reliable Explanations.
CoRR, 2024

Leveraging Priors via Diffusion Bridge for Time Series Generation.
CoRR, 2024

Fair Sampling in Diffusion Models through Switching Mechanism.
CoRR, 2024

Are Self-Attentions Effective for Time Series Forecasting?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

In-Distribution Public Data Synthesis With Diffusion Models for Differentially Private Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Fair Sampling in Diffusion Models through Switching Mechanism.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Fast sharpness-aware training for periodic time series classification and forecasting.
Appl. Soft Comput., September, 2023

Generating Transferable Adversarial Examples for Speech Classification.
Pattern Recognit., May, 2023

Efficient differentially private kernel support vector classifier for multi-class classification.
Inf. Sci., 2023

Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization.
CoRR, 2023

Stability Analysis of Sharpness-Aware Minimization.
CoRR, 2023

Exploring Diverse Feature Extractions for Adversarial Audio Detection.
IEEE Access, 2023

Fantastic Robustness Measures: The Secrets of Robust Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Implicit Jacobian regularization weighted with impurity of probability output.
Proceedings of the International Conference on Machine Learning, 2023

Differentially Private Sharpness-Aware Training.
Proceedings of the International Conference on Machine Learning, 2023

2022
Comment on Transferability and Input Transformation with Additive Noise.
CoRR, 2022

2021
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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