Hoki Kim

Orcid: 0000-0001-5361-459X

According to our database1, Hoki Kim authored at least 29 papers between 2001 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Homomorphic encryption-based fault diagnosis in IoT-enabled industrial systems.
Int. J. Inf. Sec., June, 2025

Towards undetectable adversarial attack on time series classification.
Inf. Sci., 2025

Black-box adversarial examples via frequency distortion against fault diagnosis systems.
Appl. Soft Comput., 2025

A Statistical Analysis of the Relationship Between Meme Stocks and Social Media.
IEEE Access, 2025

CaddieSet: A Golf Swing Dataset with Human Joint Features and Ball Information.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
Sliced Wasserstein adversarial training for improving adversarial robustness.
J. Ambient Intell. Humaniz. Comput., August, 2024

Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method.
Eng. Appl. Artif. Intell., 2024

BayesNAM: Leveraging Inconsistency for Reliable Explanations.
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

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

2023
Bridged adversarial training.
Neural Networks, October, 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

GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., 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

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

2022
Variational cycle-consistent imputation adversarial networks for general missing patterns.
Pattern Recognit., 2022

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

2021
Compact class-conditional domain invariant learning for multi-class domain adaptation.
Pattern Recognit., 2021

Understanding Catastrophic Overfitting in Single-step Adversarial Training.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Torchattacks : A Pytorch Repository for Adversarial Attacks.
CoRR, 2020

2008
A 500 MHz Random Cycle, 1.5 ns Latency, SOI Embedded DRAM Macro Featuring a Three-Transistor Micro Sense Amplifier.
IEEE J. Solid State Circuits, 2008

2007
A 500MHz Random Cycle 1.5ns-Latency, SOI Embedded DRAM Macro Featuring a 3T Micro Sense Amplifier.
Proceedings of the 2007 IEEE International Solid-State Circuits Conference, 2007

2005
An 800-MHz embedded DRAM with a concurrent refresh mode.
IEEE J. Solid State Circuits, 2005

2001
A practical built-in current sensor for I_DDQ testing.
Proceedings of the Proceedings IEEE International Test Conference 2001, Baltimore, MD, USA, 30 October, 2001


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