Ho Bae

32 papers A* 4A 2C 1Misc 2Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2025 C conf
Dependable Code Repair with LLMs: AI-Driven Vulnerability Detection and Automated Patching.
PRDC
Sungmin Han, Hyoungshick Kim, Hojoon Lee, Hyungon Moon, Yuseok Jeon, Ho Bae, Donghyun Yeo, Gail-Joon Ahn, Sangkyun Lee
2025 J jnl
Regularizing Hard Examples Improves Adversarial Robustness.
J. Mach. Learn. Res.
Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon
2024 A* conf
DAFA: Distance-Aware Fair Adversarial Training.
ICLR
Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
2024 J jnl
DAFA: Distance-Aware Fair Adversarial Training.
CoRR
Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
2024 J jnl
Evaluation of Malware Classification Models for Heterogeneous Data.
Sensors
Ho Bae
2024 J jnl
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models.
CoRR
Younghan Lee, Yungi Cho, Woorim Han, Ho Bae, Yunheung Paek
2024 — conf
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification.
ESORICS (4)
Yungi Cho, Woorim Han, Miseon Yu, Younghan Lee, Ho Bae, Yunheung Paek
2024 J jnl
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification.
CoRR
Yungi Cho, Woorim Han, Miseon Yu, Younghan Lee, Ho Bae, Yunheung Paek
2023 A conf
Exploring Clustered Federated Learning's Vulnerability against Property Inference Attack.
RAID
Hyunjun Kim, Yungi Cho, Younghan Lee, Ho Bae, Yunheung Paek
2023 — conf
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models.
ESORICS (4)
Younghan Lee, Yungi Cho, Woorim Han, Ho Bae, Yunheung Paek
2023 A* conf
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning.
ICLR
Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
2023 J jnl
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning.
CoRR
Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
2023 A* conf
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising.
NeurIPS
Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
2023 J jnl
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising.
CoRR
Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
2023 J jnl
PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation.
IEEE Trans. Dependable Secur. Comput.
Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
2023 — conf
Privacy-Preserving Publishing of Individual-Level Medical Data for Cloud Services.
BIBM
Ho Bae, Heonseok Ha, Siwon Kim
2022 J jnl
DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
2022 J jnl
Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell.
Sunwoo Ahn, Hayoon Yi, Ho Bae, Sungroh Yoon, Yunheung Paek
2022 A conf
Membership Privacy-Preserving GAN.
BMVC
Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon
2021 J jnl
Gradient Masking of Label Smoothing in Adversarial Robustness.
IEEE Access
Hyungyu Lee, Ho Bae, Sungroh Yoon
2021 J jnl
Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers.
IEEE Trans. Artif. Intell.
Ho Bae, Younghan Lee, Yohan Kim, Uiwon Hwang, Sungroh Yoon, Yunheung Paek
2020 J jnl
Anomaly Detection by Learning Dynamics From a Graph.
IEEE Access
Jaekoo Lee, Ho Bae, Sungroh Yoon
2020 Misc conf
AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data.
PSB
Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon
2019 J jnl
AnomiGAN: Generative adversarial networks for anonymizing private medical data.
CoRR
Ho Bae, Dahuin Jung, Sungroh Yoon
2019 J jnl
Comprehensive ensemble in QSAR prediction for drug discovery.
BMC Bioinform.
Sunyoung Kwon, Ho Bae, Jeonghee Jo, Sungroh Yoon
2019 Misc conf
DNA Steganalysis Using Deep Recurrent Neural Networks.
PSB
Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon
2019 J jnl
Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography.
IEEE Access
Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee Eun Yoon, Inha Hwang, Dana Oh, Chang-Ho Yun, Sungroh Yoon
2019 J jnl
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation.
CoRR
Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
2018 A* conf
Quantized Memory-Augmented Neural Networks.
AAAI
Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon
2018 J jnl
Security and Privacy Issues in Deep Learning.
CoRR
Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon
2017 J jnl
DNA Steganalysis Using Deep Recurrent Neural Networks.
CoRR
Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon
2017 J jnl
Quantized Memory-Augmented Neural Networks.
CoRR
Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon