Ho Bae

Orcid: 0000-0002-5238-3547

According to our database¹, Ho Bae authored at least 22 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Evaluation of Malware Classification Models for Heterogeneous Data.

[BibT_eX]

[DOI]

Ho Bae

Sensors, 2024

DAFA: Distance-Aware Fair Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2024, 2024

2023

PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

Exploring Clustered Federated Learning's Vulnerability against Property Inference Attack.

[BibT_eX]

[DOI]

Proceedings of the 26th International Symposium on Research in Attacks, 2023

PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising.

[BibT_eX]

[DOI]

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

New Insights for the Stability-Plasticity Dilemma in Online Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2023, 2023

Privacy-Preserving Publishing of Individual-Level Medical Data for Cloud Services.

[BibT_eX]

[DOI]

Ho Bae

Heonseok Ha

Siwon Kim

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2022

DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Membership Privacy-Preserving GAN.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2021

Gradient Masking of Label Smoothing in Adversarial Robustness.

[BibT_eX]

[DOI]

Hyungyu Lee

Ho Bae

Sungroh Yoon

IEEE Access, 2021

2020

Anomaly Detection by Learning Dynamics From a Graph.

[BibT_eX]

[DOI]

Jaekoo Lee

Ho Bae

Sungroh Yoon

IEEE Access, 2020

AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data.

[BibT_eX]

[DOI]

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019

AnomiGAN: Generative adversarial networks for anonymizing private medical data.

[BibT_eX]

[DOI]

Ho Bae

Dahuin Jung

Sungroh Yoon

CoRR, 2019

Comprehensive ensemble in QSAR prediction for drug discovery.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography.

[BibT_eX]

[DOI]

IEEE Access, 2019

DNA Steganalysis Using Deep Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2018

Security and Privacy Issues in Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Quantized Memory-Augmented Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Ho Bae

Timeline

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