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Ho Bae
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2020 – today
- 2024
- [j9]Ho Bae
:
Evaluation of Malware Classification Models for Heterogeneous Data. Sensors 24(1): 288 (2024) - [c11]Yungi Cho
, Woorim Han
, Miseon Yu
, Younghan Lee
, Ho Bae
, Yunheung Paek
:
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification. ESORICS (4) 2024: 291-312 - [c10]Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon:
DAFA: Distance-Aware Fair Adversarial Training. ICLR 2024 - [i10]Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon:
DAFA: Distance-Aware Fair Adversarial Training. CoRR abs/2401.12532 (2024) - [i9]Younghan Lee, Yungi Cho, Woorim Han, Ho Bae, Yunheung Paek:
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models. CoRR abs/2403.02846 (2024) - [i8]Yungi Cho, Woorim Han, Miseon Yu, Younghan Lee, Ho Bae, Yunheung Paek:
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification. CoRR abs/2408.15591 (2024) - 2023
- [j8]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): 331-342 (2023) - [c9]Ho Bae, Heonseok Ha, Siwon Kim:
Privacy-Preserving Publishing of Individual-Level Medical Data for Cloud Services. BIBM 2023: 456-461 - [c8]Younghan Lee
, Yungi Cho
, Woorim Han, Ho Bae, Yunheung Paek:
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models. ESORICS (4) 2023: 65-84 - [c7]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 - [c6]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 - [c5]Hyunjun Kim
, Yungi Cho
, Younghan Lee
, Ho Bae
, Yunheung Paek
:
Exploring Clustered Federated Learning's Vulnerability against Property Inference Attack. RAID 2023: 236-249 - [i7]Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon:
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. CoRR abs/2302.08741 (2023) - [i6]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 abs/2310.10088 (2023) - 2022
- [j7]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): 888-898 (2022) - [j6]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): 982-993 (2022) - [c4]Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon:
Membership Privacy-Preserving GAN. BMVC 2022: 576 - 2021
- [j5]Hyungyu Lee
, Ho Bae
, Sungroh Yoon
:
Gradient Masking of Label Smoothing in Adversarial Robustness. IEEE Access 9: 6453-6464 (2021) - [j4]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): 299-313 (2021) - 2020
- [j3]Jaekoo Lee
, Ho Bae, Sungroh Yoon
:
Anomaly Detection by Learning Dynamics From a Graph. IEEE Access 8: 64356-64365 (2020) - [c3]Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon:
AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. PSB 2020: 563-574
2010 – 2019
- 2019
- [j2]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: 146390-146402 (2019) - [j1]Sunyoung Kwon
, Ho Bae, Jeonghee Jo, Sungroh Yoon
:
Comprehensive ensemble in QSAR prediction for drug discovery. BMC Bioinform. 20(1): 521:1-521:12 (2019) - [c2]Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon:
DNA Steganalysis Using Deep Recurrent Neural Networks. PSB 2019: 88-99 - [i5]Ho Bae, Dahuin Jung, Sungroh Yoon:
AnomiGAN: Generative adversarial networks for anonymizing private medical data. CoRR abs/1901.11313 (2019) - [i4]Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon:
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation. CoRR abs/1902.10905 (2019) - 2018
- [c1]Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon:
Quantized Memory-Augmented Neural Networks. AAAI 2018: 3909-3916 - [i3]Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon:
Security and Privacy Issues in Deep Learning. CoRR abs/1807.11655 (2018) - 2017
- [i2]Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon:
DNA Steganalysis Using Deep Recurrent Neural Networks. CoRR abs/1704.08443 (2017) - [i1]Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon:
Quantized Memory-Augmented Neural Networks. CoRR abs/1711.03712 (2017)
Coauthor Index

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