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# Publications

International conference papers, journal articles, and preprints

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.

Global venues

## International Publications

### Conference Papers

#### 2026

1.

ICSE

[Rethinking the Capability of Fine-Tuned Language Models for Automated Vulnerability Repair](https://conf.researchr.org/details/icse-2026/icse-2026-research-track/125/Rethinking-the-Capability-of-Fine-Tuned-Language-Models-for-Automated-Vulnerability-R)

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](http://arxiv.org/abs/2512.22633) Bib [Official](https://conf.researchr.org/details/icse-2026/icse-2026-research-track/125/Rethinking-the-Capability-of-Fine-Tuned-Language-Models-for-Automated-Vulnerability-R)

```
@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},
}
```

2.

AICompS

[Data Reconstruction Attacks against Privacy-Preserving Vertical Federated Learning](https://link.springer.com/book/9789819218905)

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](https://link.springer.com/book/9789819218905)

```
@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

1.

SVCC

[Poster: A Case Study on Automated Vulnerability Repair Using Pre-Trained Language Models](https://doi.org/10.1109/SVCC65277.2025.11133621)

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](https://doi.org/10.1109/SVCC65277.2025.11133621) 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

1.

ESORICS

[VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification](https://doi.org/10.1007/978-3-031-70903-6_15)

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](http://arxiv.org/abs/2408.15591) [DOI](https://doi.org/10.1007/978-3-031-70903-6_15) Bib [Code](https://github.com/blingcho/VFLIP-esorics24)

```
@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},
}
```

2.

AICompS

[Learning-Based Automated Vulnerability Repair: A Case Study Using Fine-Tuned Language Models](https://aicomps.kips.or.kr/1210%20AICompS-program-3.pdf)

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](https://aicomps.kips.or.kr/1210%20AICompS-program-3.pdf)

```
@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},
}
```

3.

AICompS

[Examining Obstructive Sleep Apnea Classification with Large Language Models](https://aicomps.kips.or.kr/1210%20AICompS-program-3.pdf)

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](https://aicomps.kips.or.kr/1210%20AICompS-program-3.pdf)

```
@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

1.

ESORICS

[FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models](https://doi.org/10.1007/978-3-031-51482-1_4)

*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](http://arxiv.org/abs/2403.02846) [DOI](https://doi.org/10.1007/978-3-031-51482-1_4) Bib [Slides](/assets/pdf/L_ESORICS_2023.pdf)

```
@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},
}
```

2.

RAID

[Exploring Clustered Federated Learning’s Vulnerability against Property Inference Attack](https://doi.org/10.1145/3607199.3607218)

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](https://doi.org/10.1145/3607199.3607218) 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

1.

ESORICS

[Precise extraction of deep learning models via side-channel attacks on edge/endpoint devices](https://doi.org/10.1007/978-3-031-17143-7_18)

*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](http://arxiv.org/abs/2403.02870) [DOI](https://doi.org/10.1007/978-3-031-17143-7_18) Bib [Slides](/assets/pdf/L_ESORICS_2022.pdf)

```
@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

1.

DAC

[Hawkware: network intrusion detection based on behavior analysis with ANNs on an IoT device](https://doi.org/10.1109/DAC18072.2020.9218559)

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](https://doi.org/10.1109/DAC18072.2020.9218559) 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

1.

DATE

[Riskim: Toward complete kernel protection with hardware support](https://doi.org/10.23919/DATE.2019.8715277)

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](https://doi.org/10.23919/DATE.2019.8715277) 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

1.

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},
}
```

2.

IEEE Access

[PI-FD: Property Inference Attacks on Federated Learning With Distillation via Synthetic Data Generation](https://doi.org/10.1109/ACCESS.2026.3700259)

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

**Corresponding authors** Younghan Lee and Yunheung Paek

*IEEE Access*, 2026

[DOI](https://doi.org/10.1109/ACCESS.2026.3700259) 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

1.

CIN

[A Pilot Study of Machine Learning–Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults](https://doi.org/10.1097/CIN.0000000000000926)

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

*CIN: Computers, Informatics, Nursing*, 2022

[DOI](https://doi.org/10.1097/CIN.0000000000000926) 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

1.

IEEE TAI

[Learn2Evade: Learning-based generative model for evading PDF malware classifiers](https://doi.org/10.1109/TAI.2021.3103139)

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](https://doi.org/10.1109/TAI.2021.3103139) 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

1.

arXiv

[Mimicry resilient program behavior modeling with LSTM based branch models](https://arxiv.org/abs/1803.09171)

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

*arXiv preprint arXiv:1803.09171*, 2018

[arXiv](http://arxiv.org/abs/1803.09171) 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},
}
```