publications

2023

1. 

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

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

   In European Symposium on Research in Computer Security , 2023

   Bib PDF 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},
     pages = {65--84},
     year = {2023},
     organization = {Springer},
   }

2. RAID

   Exploring Clustered Federated Learning’s Vulnerability against Property Inference Attack

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

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

   First two authors contributed equally to this work (Hyunjun Kim and Yungi Cho)

   Bib PDF

   @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},
     note = {First two authors contributed equally to this work (Hyunjun Kim and Yungi Cho)},
     booktitle = {Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses},
     pages = {236--249},
     year = {2023},
   }

2022

1. 

   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

   In European Symposium on Research in Computer Security , 2022

   Bib PDF 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},
     pages = {364--383},
     year = {2022},
     organization = {Springer},
   }

2. 

   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

   Bib PDF

   @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},
   }

2021

1. 

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

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

   IEEE Transactions on Artificial Intelligence, 2021

   First two authors contributed equally to this work (Ho Bae and Younghan Lee)

   Bib PDF

   @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},
     note = {First two authors contributed equally to this work (Ho Bae and Younghan Lee)},
     journal = {IEEE Transactions on Artificial Intelligence},
     volume = {2},
     number = {4},
     pages = {299--313},
     year = {2021},
     publisher = {IEEE},
   }

2020

1. 

   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

   Bib PDF

   @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},
   }

2019

1. 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

   Bib PDF

   @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},
   }

2018

1. 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

   Bib PDF

   @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},
   }