Hoki Kim

Orcid: 0000-0001-5361-459X

According to our database¹, Hoki Kim authored at least 24 papers between 2001 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Sliced Wasserstein adversarial training for improving adversarial robustness.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., August, 2024

Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

BayesNAM: Leveraging Inconsistency for Reliable Explanations.

[BibT_eX]

[DOI]

CoRR, 2024

Are Self-Attentions Effective for Time Series Forecasting?

[BibT_eX]

[DOI]

CoRR, 2024

Fair Sampling in Diffusion Models through Switching Mechanism.

[BibT_eX]

[DOI]

CoRR, 2024

Fair Sampling in Diffusion Models through Switching Mechanism.

[BibT_eX]

[DOI]

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

2023

Bridged adversarial training.

[BibT_eX]

[DOI]

Neural Networks, October, 2023

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

[BibT_eX]

[DOI]

Appl. Soft Comput., September, 2023

Generating Transferable Adversarial Examples for Speech Classification.

[BibT_eX]

[DOI]

Hoki Kim

Jinseong Park

Jaewook Lee

Pattern Recognit., May, 2023

GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization.

[BibT_eX]

[DOI]

Sungyoon Lee

Hoki Kim

Jaewook Lee

IEEE Trans. Pattern Anal. Mach. Intell., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Stability Analysis of Sharpness-Aware Minimization.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Diverse Feature Extractions for Adversarial Audio Detection.

[BibT_eX]

[DOI]

IEEE Access, 2023

Fantastic Robustness Measures: The Secrets of Robust Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differentially Private Sharpness-Aware Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Variational cycle-consistent imputation adversarial networks for general missing patterns.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Comment on Transferability and Input Transformation with Additive Noise.

[BibT_eX]

[DOI]

Hoki Kim

Jinseong Park

Jaewook Lee

CoRR, 2022

2021

Compact class-conditional domain invariant learning for multi-class domain adaptation.

[BibT_eX]

[DOI]

Woojin Lee

Hoki Kim

Jaewook Lee

Pattern Recognit., 2021

Understanding Catastrophic Overfitting in Single-step Adversarial Training.

[BibT_eX]

[DOI]

Hoki Kim

Woojin Lee

Jaewook Lee

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Torchattacks : A Pytorch Repository for Adversarial Attacks.

[BibT_eX]

[DOI]

Hoki Kim

CoRR, 2020

2008

A 500 MHz Random Cycle, 1.5 ns Latency, SOI Embedded DRAM Macro Featuring a Three-Transistor Micro Sense Amplifier.

[BibT_eX]

[DOI]

IEEE J. Solid State Circuits, 2008

2007

A 500MHz Random Cycle 1.5ns-Latency, SOI Embedded DRAM Macro Featuring a 3T Micro Sense Amplifier.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Solid-State Circuits Conference, 2007

2005

An 800-MHz embedded DRAM with a concurrent refresh mode.

[BibT_eX]

[DOI]

IEEE J. Solid State Circuits, 2005

2001

A practical built-in current sensor for I_DDQ testing.

[BibT_eX]

[DOI]

Hoki Kim

D. M. H. Walker

David Colby

Proceedings of the Proceedings IEEE International Test Conference 2001, Baltimore, MD, USA, 30 October, 2001

Hoki Kim

Timeline

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