Security and Privacy Issues in Deep Learning
Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon, arXiv.
2024
DAFA: Distance-Aware Fair Adversarial Training
Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon, in Proceedings of the 12th International Conference on Learning Representations (ICRL), Vienna, Austria, May 2024.
VFLIP: A backdoor Defense for Vertical Federated Learning via Identification and Purification
Yungi Cho, Woorim Han, Miseon Yu, Younhan Lee, Ho Bae, and Yunheung Paek, in Proceedings of the 29th European Symposium on Research in Computer Security (ESORICS), Sep 2024.
2023
Privacy-Preserving Publishing of Individual-Level Medical Data for Cloud Services
Ho Bae, Heonseok Ha, Siwon Ha, in Proceedings of Conference on Bioinformatics and Biomedicine (BIBM), Istanbul, Turkey, December 2023.
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising
Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon, in Proceedings of Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, December 2023.
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
Younghan Lee, Yungi Cho, Woorim Han, Ho Bae, Yunheung Paek , in Proceedings of the 28th European Symposium on Research in Computer Security (ESORICS), Sep 2023.
Exploring Clustered Federated Learning’s Vulnerability against Property Inference Attack
Hyunjun Kim, Yungi Cho, Younghan Lee, Ho Bae, Yunheung Paek , in Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), Oct 2023.
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon, in Proceedings of the 11th International Conference on Learning Representations (ICRL), May 2023.
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, Sungroh Yoon, in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), pp.3909-3916, New Orleans, USA, February 2018.
2025
Regularizing hard examples improves adversarial robustness
Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon, Journal of Machine Learning Research, in press.
2023
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, vol. 20, no.1, pp. 331-342, Jan 2023.
2022
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.