Publications | TAIS LAB

International research outputs are listed with conference papers first, followed by journal articles and preprints. Accepted and forthcoming work is labelled explicitly, and manuscripts under review are not included. Author roles are shown only where they are verified from the final paper or publication record.

Conference Papers

2026

ICSE

Rethinking the Capability of Fine-Tuned Language Models for Automated Vulnerability Repair

Woorim Han , Yeongjun Kwak , Miseon Yu , Kyeongmin Kim , Younghan Lee, Hyungon Moon , and Yunheung Paek

Corresponding authors Younghan Lee and Yunheung Paek

In Proceedings of the 48th IEEE/ACM International Conference on Software Engineering , 2026

arXiv Bib Official

@inproceedings{han2026rethinking,
  title = {Rethinking the Capability of Fine-Tuned Language Models for Automated Vulnerability Repair},
  author = {Han, Woorim and Kwak, Yeongjun and Yu, Miseon and Kim, Kyeongmin and Lee, Younghan and Moon, Hyungon and Paek, Yunheung},
  booktitle = {Proceedings of the 48th IEEE/ACM International Conference on Software Engineering},
  year = {2026},
  numpages = {13},
  publisher = {ACM},
}

AICompS

Data Reconstruction Attacks against Privacy-Preserving Vertical Federated Learning

Yungi Cho , Miseon Yu , Hyunjun Kim , Younghan Lee, and Yunheung Paek

Corresponding authors Younghan Lee and Yunheung Paek

In Artificial Intelligence Computing and Systems: Second International Conference, AICompS 2025, Fukuoka, Japan, November 26–28, 2025, Revised Selected Papers , 2026

Bib Official

@inproceedings{cho2026datareconstruction,
  title = {Data Reconstruction Attacks against Privacy-Preserving Vertical Federated Learning},
  author = {Cho, Yungi and Yu, Miseon and Kim, Hyunjun and Lee, Younghan and Paek, Yunheung},
  booktitle = {Artificial Intelligence Computing and Systems: Second International Conference, AICompS 2025, Fukuoka, Japan, November 26--28, 2025, Revised Selected Papers},
  editor = {Kang, Brent Byunghoon and Jang, Daehee},
  series = {Communications in Computer and Information Science},
  volume = {2961},
  year = {2026},
  publisher = {Springer Singapore},
}

2025

SVCC

Poster: A Case Study on Automated Vulnerability Repair Using Pre-Trained Language Models

Woorim Han , Miseon Yu , Younghan Lee, Hyungon Moon , and Yunheung Paek

Corresponding authors Younghan Lee, Hyungon Moon, and Yunheung Paek

In 2025 Silicon Valley Cybersecurity Conference , 2025

DOI Bib

@inproceedings{han2025poster,
  title = {Poster: A Case Study on Automated Vulnerability Repair Using Pre-Trained Language Models},
  author = {Han, Woorim and Yu, Miseon and Lee, Younghan and Moon, Hyungon and Paek, Yunheung},
  booktitle = {2025 Silicon Valley Cybersecurity Conference},
  year = {2025},
  pages = {1--3},
  publisher = {IEEE},
  doi = {10.1109/SVCC65277.2025.11133621},
}

2024

ESORICS

VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification

Yungi Cho , Woorim Han , Miseon Yu , Younghan Lee, Ho Bae , and Yunheung Paek

Corresponding authors Ho Bae and Yunheung Paek

In Computer Security – ESORICS 2024: 29th European Symposium on Research in Computer Security , 2024

arXiv DOI Bib Code

@inproceedings{cho2024vflip,
  title = {VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification},
  author = {Cho, Yungi and Han, Woorim and Yu, Miseon and Lee, Younghan and Bae, Ho and Paek, Yunheung},
  booktitle = {Computer Security -- ESORICS 2024: 29th European Symposium on Research in Computer Security},
  pages = {291--312},
  year = {2024},
  organization = {Springer},
  doi = {10.1007/978-3-031-70903-6_15},
}

AICompS

Learning-Based Automated Vulnerability Repair: A Case Study Using Fine-Tuned Language Models

Woorim Han , Miseon Yu , Younghan Lee, Hyungon Moon , and Yunheung Paek

Corresponding authors Younghan Lee, Hyungon Moon, and Yunheung Paek

In International Conference on Artificial Intelligence Computing and Systems , 2024

Bib Official

@inproceedings{han2024learningavr,
  title = {Learning-Based Automated Vulnerability Repair: A Case Study Using Fine-Tuned Language Models},
  author = {Han, Woorim and Yu, Miseon and Lee, Younghan and Moon, Hyungon and Paek, Yunheung},
  booktitle = {International Conference on Artificial Intelligence Computing and Systems},
  year = {2024},
}

AICompS

Examining Obstructive Sleep Apnea Classification with Large Language Models

Subin Yun , Younghan Lee, and Yunheung Paek

Corresponding authors Younghan Lee and Yunheung Paek

In International Conference on Artificial Intelligence Computing and Systems , 2024

Bib Official

@inproceedings{yun2024osallm,
  title = {Examining Obstructive Sleep Apnea Classification with Large Language Models},
  author = {Yun, Subin and Lee, Younghan and Paek, Yunheung},
  booktitle = {International Conference on Artificial Intelligence Computing and Systems},
  year = {2024},
}

2023

ESORICS

FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models

Younghan Lee, Yungi Cho , Woorim Han , Ho Bae , and Yunheung Paek

Corresponding authors Ho Bae and Yunheung Paek

In European Symposium on Research in Computer Security (ESORICS) , 2023

arXiv DOI Bib Slides

@inproceedings{lee2023flguard,
  title = {FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models},
  author = {Lee, Younghan and Cho, Yungi and Han, Woorim and Bae, Ho and Paek, Yunheung},
  booktitle = {European Symposium on Research in Computer Security (ESORICS)},
  pages = {65--84},
  year = {2023},
  organization = {Springer},
  doi = {10.1007/978-3-031-51482-1_4},
}

RAID

Exploring Clustered Federated Learning’s Vulnerability against Property Inference Attack

Hyunjun Kim , Yungi Cho , Younghan Lee, Ho Bae , and Yunheung Paek

Co-first authors Hyunjun Kim and Yungi Cho Corresponding authors Ho Bae and Yunheung Paek

In Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses , 2023

DOI Bib

@inproceedings{kim2023exploring,
  title = {Exploring Clustered Federated Learning’s Vulnerability against Property Inference Attack},
  author = {Kim, Hyunjun and Cho, Yungi and Lee, Younghan and Bae, Ho and Paek, Yunheung},
  booktitle = {Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses},
  pages = {236--249},
  year = {2023},
  doi = {10.1145/3607199.3607218},
}

2022

ESORICS

Precise extraction of deep learning models via side-channel attacks on edge/endpoint devices

Younghan Lee, Sohee Jun , Yungi Cho , Woorim Han , Hyungon Moon , and Yunheung Paek

Corresponding authors Hyungon Moon and Yunheung Paek

In European Symposium on Research in Computer Security (ESORICS) , 2022

arXiv DOI Bib Slides

@inproceedings{lee2022precise,
  title = {Precise extraction of deep learning models via side-channel attacks on edge/endpoint devices},
  author = {Lee, Younghan and Jun, Sohee and Cho, Yungi and Han, Woorim and Moon, Hyungon and Paek, Yunheung},
  booktitle = {European Symposium on Research in Computer Security (ESORICS)},
  pages = {364--383},
  year = {2022},
  organization = {Springer},
  doi = {10.1007/978-3-031-17143-7_18},
}

2020

DAC

Hawkware: network intrusion detection based on behavior analysis with ANNs on an IoT device

Sunwoo Ahn , Hayoon Yi , Younghan Lee, Whoi Ree Ha , Giyeol Kim , and Yunheung Paek

In 2020 57th ACM/IEEE Design Automation Conference (DAC) , 2020

DOI Bib

@inproceedings{ahn2020hawkware,
  title = {Hawkware: network intrusion detection based on behavior analysis with ANNs on an IoT device},
  author = {Ahn, Sunwoo and Yi, Hayoon and Lee, Younghan and Ha, Whoi Ree and Kim, Giyeol and Paek, Yunheung},
  booktitle = {2020 57th ACM/IEEE Design Automation Conference (DAC)},
  pages = {1--6},
  year = {2020},
  organization = {IEEE},
  doi = {10.1109/DAC18072.2020.9218559}
}

2019

DATE

Riskim: Toward complete kernel protection with hardware support

Dongil Hwang , Myonghoon Yang , Seongil Jeon , Younghan Lee, Donghyun Kwon , and Yunheung Paek

In 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE) , 2019

DOI Bib

@inproceedings{hwang2019riskim,
  title = {Riskim: Toward complete kernel protection with hardware support},
  author = {Hwang, Dongil and Yang, Myonghoon and Jeon, Seongil and Lee, Younghan and Kwon, Donghyun and Paek, Yunheung},
  booktitle = {2019 Design, Automation \& Test in Europe Conference \& Exhibition (DATE)},
  pages = {740--745},
  year = {2019},
  organization = {IEEE},
  doi = {10.23919/DATE.2019.8715277}
}

Journal Articles

2026

EMSE

VulScope: Software Vulnerability Detection via Local Context Analysis and Verification

Hyunjun Kim , Younghan Lee, Woorim Han , Subin Yun , Kang-Won Lee , and Yunheung Paek

Co-first authors Hyunjun Kim and Younghan Lee Corresponding authors Kang-Won Lee and Yunheung Paek

Empirical Software Engineering, 2026

Bib

@article{kim2026vulscope,
  title = {{VulScope}: Software Vulnerability Detection via Local Context Analysis and Verification},
  author = {Kim, Hyunjun and Lee, Younghan and Han, Woorim and Yun, Subin and Lee, Kang-Won and Paek, Yunheung},
  journal = {Empirical Software Engineering},
  year = {2026},
}

IEEE Access

PI-FD: Property Inference Attacks on Federated Learning With Distillation via Synthetic Data Generation

Yungi Cho , Miseon Yu , Jaejin Kim , Younghan Lee, and Yunheung Paek

Corresponding authors Younghan Lee and Yunheung Paek

IEEE Access, 2026

DOI Bib

@article{cho2026pifd,
  title = {{PI-FD}: Property Inference Attacks on Federated Learning With Distillation via Synthetic Data Generation},
  author = {Cho, Yungi and Yu, Miseon and Kim, Jaejin and Lee, Younghan and Paek, Yunheung},
  journal = {IEEE Access},
  year = {2026},
  volume = {14},
  pages = {101398--101414},
  doi = {10.1109/ACCESS.2026.3700259},
}

2022

CIN

A Pilot Study of Machine Learning–Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults

So Im Ryu , Younghan Lee, Sohee Jun , Yunheung Paek , Hongsoo Kim , BeLong Cho , and Yeon-Hwan Park

CIN: Computers, Informatics, Nursing, 2022

DOI Bib

@article{im2022pilot,
  title = {A Pilot Study of Machine Learning--Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults},
  author = {Im Ryu, So and Lee, Younghan and Jun, Sohee and Paek, Yunheung and Kim, Hongsoo and Cho, BeLong and Park, Yeon-Hwan},
  journal = {CIN: Computers, Informatics, Nursing},
  volume = {40},
  number = {10},
  pages = {718--724},
  year = {2022},
  publisher = {LWW},
  doi = {10.1097/CIN.0000000000000926}
}

2021

IEEE TAI

Learn2Evade: Learning-based generative model for evading PDF malware classifiers

Ho Bae , Younghan Lee, Yohan Kim , Uiwon Hwang , Sungroh Yoon , and Yunheung Paek

Co-first authors Ho Bae and Younghan Lee Corresponding authors Sungroh Yoon and Yunheung Paek

IEEE Transactions on Artificial Intelligence, 2021

DOI Bib

@article{bae2021learn2evade,
  title = {Learn2Evade: Learning-based generative model for evading PDF malware classifiers},
  author = {Bae, Ho and Lee, Younghan and Kim, Yohan and Hwang, Uiwon and Yoon, Sungroh and Paek, Yunheung},
  journal = {IEEE Transactions on Artificial Intelligence},
  volume = {2},
  number = {4},
  pages = {299--313},
  year = {2021},
  publisher = {IEEE},
  doi = {10.1109/TAI.2021.3103139},
}

Preprints

2018

arXiv

Mimicry resilient program behavior modeling with LSTM based branch models

Hayoon Yi , Gyuwan Kim , Jangho Lee , Sunwoo Ahn , Younghan Lee, Sungroh Yoon , and Yunheung Paek

arXiv preprint arXiv:1803.09171, 2018

arXiv Bib

@article{yi2018mimicry,
  title = {Mimicry resilient program behavior modeling with LSTM based branch models},
  author = {Yi, Hayoon and Kim, Gyuwan and Lee, Jangho and Ahn, Sunwoo and Lee, Younghan and Yoon, Sungroh and Paek, Yunheung},
  journal = {arXiv preprint arXiv:1803.09171},
  year = {2018},
}