Jian Cui

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

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

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

CV Google Scholar LinkedIn Twitter

News

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.

Publications (Selected)

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)},
}

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

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

arXiv, 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 = {arXiv},
}

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},
}

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

The 61st 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 = {The 61st Annual Meeting of the Association for Computational Linguistics (ACL)},
  year = {2023},
}

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

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

The 31st 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 31st ACM International Conference on Information \& Knowledge Management (CIKM)},
  pages = {325--334},
  year = {2022},
}