Ho Bae

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Security And Privacy Issues

Top Venues

Publications

Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
DAFA: Distance-Aware Fair Adversarial Training. ICLR (2024)
Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
DAFA: Distance-Aware Fair Adversarial Training. CoRR (2024)
Ho Bae
Evaluation of Malware Classification Models for Heterogeneous Data. Sensors 24 (1) (2024)
Younghan Lee, Yungi Cho, Woorim Han, Ho Bae, Yunheung Paek
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models. CoRR (2024)
Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. CoRR (2023)
Younghan Lee, Yungi Cho, Woorim Han, Ho Bae, Yunheung Paek
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models. ESORICS (4) (2023)
Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation. IEEE Trans. Dependable Secur. Comput. 20 (1) (2023)
Ho Bae, Heonseok Ha, Siwon Kim
Privacy-Preserving Publishing of Individual-Level Medical Data for Cloud Services. BIBM (2023)
Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. ICLR (2023)
Hyunjun Kim, Yungi Cho, Younghan Lee, Ho Bae, Yunheung Paek
Exploring Clustered Federated Learning's Vulnerability against Property Inference Attack. RAID (2023)
Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising. NeurIPS (2023)
Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising. CoRR (2023)
Sunwoo Ahn, Hayoon Yi, Ho Bae, Sungroh Yoon, Yunheung Paek
Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 6 (4) (2022)
Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon
Membership Privacy-Preserving GAN. BMVC (2022)
Hyungyu Lee, Ho Bae, Sungroh Yoon
Gradient Masking of Label Smoothing in Adversarial Robustness. IEEE Access 9 (2021)
Ho Bae, Younghan Lee, Yohan Kim, Uiwon Hwang, Sungroh Yoon, Yunheung Paek
Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers. IEEE Trans. Artif. Intell. 2 (4) (2021)
Jaekoo Lee, Ho Bae, Sungroh Yoon
Anomaly Detection by Learning Dynamics From a Graph. IEEE Access 8 (2020)
Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon
AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. PSB (2020)
Sunyoung Kwon, Ho Bae, Jeonghee Jo, Sungroh Yoon
Comprehensive ensemble in QSAR prediction for drug discovery. BMC Bioinform. 20 (1) (2019)
Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation. CoRR (2019)
Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee Eun Yoon, Inha Hwang, Dana Oh, Chang-Ho Yun, Sungroh Yoon
Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography. IEEE Access 7 (2019)
Ho Bae, Dahuin Jung, Sungroh Yoon
AnomiGAN: Generative adversarial networks for anonymizing private medical data. CoRR (2019)
Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon
DNA Steganalysis Using Deep Recurrent Neural Networks. PSB (2019)
Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon
Security and Privacy Issues in Deep Learning. CoRR (2018)
Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon
Quantized Memory-Augmented Neural Networks. AAAI (2018)
Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon
DNA Steganalysis Using Deep Recurrent Neural Networks. CoRR (2017)
Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon
Quantized Memory-Augmented Neural Networks. CoRR (2017)