Jian Cui

Hello, I’m Jian Cui, sharing the exact same name as the legendary Chinese rock star.

I’m currently in my second year of pursuing a Ph.D. at Indiana University Bloomington (IUB), under the guidance of Professor Xiaojing Liao.

Prior to that, I earned both my bachelor’s and master’s degrees in EE from KAIST, advised by Professor Seungwon Shin.

My research lies at the intersection of AI and security. I am interested in using AI techniques to solve security problems, and I am also interested in general AI security and privacy issues.

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news

Aug 28, 2024	“Tweezers: A Framework for Security Event Detection via Event Attribution-centric Tweet Embedding” was accepted to NDSS 2025.
May 28, 2024	Started as an Applied Scientist Intern at AWS AI.
Mar 13, 2024	“Ignore Me But Don’t Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain” was accepted to NAACL 2024 (Findings).
Oct 22, 2023	“DRAINCLoG: Detecting Rouge Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs” was accepted to NDSS 2024.
Aug 27, 2023	Began my doctoral studies under the supervision of Professor Xiaojing Liao.

selected publications

NDSS’25

Tweezers: A Framework for Security Event Detection via Event Attribution-centric Tweet Embedding

Jian Cui, Hanna Kim, Eugene Jang, Dayeon Yim, Kicheol Kim, Yongjae Lee, Jin-Woo Chung, Seungwon Shin, and Xiaojing Liao

The Network and Distributed System Security Symposium (NDSS), 2025

Bib PDF

@article{cui2024tweezers,
  title = {Tweezers: A Framework for Security Event Detection via Event Attribution-centric Tweet Embedding},
  author = {Cui, Jian and Kim, Hanna and Jang, Eugene and Yim, Dayeon and Kim, Kicheol and Lee, Yongjae and Chung, Jin-Woo and Shin, Seungwon and Liao, Xiaojing},
  year = {2025},
  journal = {The Network and Distributed System Security Symposium (NDSS)},
}

Security’24

Malla: Demystifying Real-world Large Language Model Integrated Malicious Services

Zilong Lin, Jian Cui, Xiaojing Liao, and XiaoFeng Wang

Usenix Security 2024, 2024

Bib PDF

@article{lin2024malla,
  title = {Malla: Demystifying Real-world Large Language Model Integrated Malicious Services},
  author = {Lin, Zilong and Cui, Jian and Liao, Xiaojing and Wang, XiaoFeng},
  year = {2024},
  journal = {Usenix Security 2024},
}

NAACL’24

Ignore Me But Don’t Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain

Eugene Jang, Jian Cui, Dayeon Yim, Youngjin Jin, Jin-Woo Chung, Seungwon Shin, and Yongjae Lee

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL Findings), 2024

Bib PDF

@article{jang2024cybertuned,
  title = {Ignore Me But Don’t Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain},
  author = {Jang, Eugene and Cui, Jian and Yim, Dayeon and Jin, Youngjin and Chung, Jin-Woo and Shin, Seungwon and Lee, Yongjae},
  year = {2024},
  journal = {Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL Findings)},
}

NDSS’24

DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs

Hanna Kim, Jian Cui, Eugene Jang, Chanhee Lee, Yongjae Lee, Jin-Woo Chung, and Seungwon Shin

The Network and Distributed System Security Symposium (NDSS), 2024

Bib PDF

@article{kim2023drainclog,
  title = {DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs},
  author = {Kim, Hanna and Cui, Jian and Jang, Eugene and Lee, Chanhee and Lee, Yongjae and Chung, Jin-Woo and Shin, Seungwon},
  journal = {The Network and Distributed System Security Symposium (NDSS)},
  year = {2024},
}

ACL’23

DarkBERT: A Language Model for the Dark Side of the Internet

Youngjin Jin, Eugene Jang, Jian Cui, Jin-Woo Chung, Yongjae Lee, and Seungwon Shin

Annual Meeting of the Association for Computational Linguistics (ACL), 2023

Bib PDF

@article{jin-etal-2023-darkbert,
  title = {DarkBERT: A Language Model for the Dark Side of the Internet},
  author = {Jin, Youngjin and Jang, Eugene and Cui, Jian and Chung, Jin-Woo and Lee, Yongjae and Shin, Seungwon},
  journal = {Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2023},
}

CIKM’22

Meta-path-based Fake News Detection Leveraging Multi-level Social Context Information

Jian Cui, Kwanwoo Kim, Seung Ho Na, and Seungwon Shin

The ACM International Conference on Information & Knowledge Management (CIKM), 2022

Bib PDF

@article{cui2022meta,
  title = {Meta-path-based Fake News Detection Leveraging Multi-level Social Context Information},
  author = {Cui, Jian and Kim, Kwanwoo and Na, Seung Ho and Shin, Seungwon},
  journal = {The ACM International Conference on Information \& Knowledge Management (CIKM)},
  pages = {325--334},
  year = {2022},
}