Jinseong Park

According to our database, Jinseong Park authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Fair Sampling in Diffusion Models through Switching Mechanism.

Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saeroom Park

CoRR, 2024

Fair Sampling in Diffusion Models through Switching Mechanism.

Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fast sharpness-aware training for periodic time series classification and forecasting.

Jinseong Park, Hoki Kim, Yujin Choi, Woojin Lee, Jaewook Lee

Appl. Soft Comput., September, 2023

Generating Transferable Adversarial Examples for Speech Classification.

Hoki Kim, Jinseong Park, Jaewook Lee

Pattern Recognit., May, 2023

Efficient differentially private kernel support vector classifier for multi-class classification.

Jinseong Park, Yujin Choi, Junyoung Byun, Jaewook Lee, Saerom Park

Inf. Sci., 2023

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

Hoki Kim, Jinseong Park, Yujin Choi, Woojin Lee, Jaewook Lee

CoRR, 2023

Stability Analysis of Sharpness-Aware Minimization.

Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee

CoRR, 2023

Exploring Diverse Feature Extractions for Adversarial Audio Detection.

Yujin Choi, Jinseong Park, Jaewook Lee, Hoki Kim

IEEE Access, 2023

Fantastic Robustness Measures: The Secrets of Robust Generalization.

Hoki Kim, Jinseong Park, Yujin Choi, Jaewook Lee

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.

Sungyoon Lee, Jinseong Park, Jaewook Lee

Proceedings of the International Conference on Machine Learning, 2023

Differentially Private Sharpness-Aware Training.

Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee

Proceedings of the International Conference on Machine Learning, 2023

2022

Comment on Transferability and Input Transformation with Additive Noise.

Hoki Kim, Jinseong Park, Jaewook Lee

CoRR, 2022

2021

Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples.

Sungyoon Lee, Woojin Lee, Jinseong Park, Jaewook Lee

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021