Publications
arXiv
Security and Privacy Issues in Deep Learning
Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon, under revision.
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.
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.
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.
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.
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.
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.
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.
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.
Gradient Masking of Label Smoothing in Adversarial Robustness
Hyungyu Lee, Ho Bae, Sungroh Yoon, IEEE Access, vol. 9, pp. 6453-6464, January 2021.
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.
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.
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.