Publications

arXiv


  • Security and Privacy Issues in Deep Learning

Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon, under revision.

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Conference

2022

  • MPGAN: Membership Privacy-Preserving GAN

Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon, in Proceedings of the Thirty-Three British Machine Vision Conference (BMVC), London, UK, November 2022.

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2020

  • AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data

Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon, in Proceedings of Proceedings of Pacific Symposium on Biocomputing (PSB), Hawaii, USA, January 2020.

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2019

  • DNA Steganalysis using Deep Recurrent Neural Networks

Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon, in Proceedings of Pacific Symposium on Biocomputing (PSB), Hawaii, USA, January 2019.

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2018

  • Quantized Memory-Augmented Neural Networks

Seongsik Park, Seijoon Kim, Seil Lee, Ho Bae, and Sungroh Yoon, in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), pp.3909-3916, New Orleans, USA, February 2018.

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Journal

2022

  • PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation

Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon, in IEEE Transactions on Transactions on Dependable and Secure Computing, in press.

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  • A Data Embedding Scheme for Efficient Program Behavior Modeling with Neural Networks

Sunwoo Ahn, Hayoon Yi, Ho Bae, Sungroh Yoon, Yunheung Paek, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 4, pp. 982-993, August 2022.

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  • DNA Privacy: Analyzing Malicious DNA Sequences using Deep Neural Networks

Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon, IEEE Transactions on Computational Biology and Bioinformatics, vol. 19, no. 2, pp. 888-898, April 2022.

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2021

  • Learn2Evade: Learning-based Generative Model for Evading PDF Malware Classifiers

Ho Bae, Younghan Lee, Yohan Kim, Uiwon Hwang, Sungroh Yoon, Yunheung Paek, in IEEE Transactions on Artificial Intelligence, vol. 2, no. 4, pp. 299-313, August 2021.

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  • Gradient Masking of Label Smoothing in Adversarial Robustness

Hyungyu Lee, Ho Bae, Sungroh Yoon, IEEE Access, vol. 9, pp. 6453-6464, January 2021.

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2020

  • Anomaly Detection by Learning Dynamics from a Graph

Jaekoo Lee, Ho Bae, Sungroh Yoon, IEEE Access, vol. 8, no. 1, pp. 64356-64365, March 2020.

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2019

  • Comprehensive Ensemble in QSAR Prediction for Drug Discovery

Sunyoung Kwon, Ho Bae, Junghee Jo, Sungroh Yoon, in BMC Bioinformatics, vol. 20, no. 1, p. 521, October 2019.

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  • Learning-based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography

Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee-Eun Yoon, Inha Hwang, Dana Oh, Chang-ho Yoon, Sungroh Yoon, IEEE Access, vol. 7, no. 1, pp. 146390-146402, October 2019.

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