Shenao Yan 闫申奥

Hi! I am a Ph.D. student of University of Connecticut, advised by Prof. Yuan Hong. Prior to my Ph.D. career, I received my master’s degree from School of Computer Science, Rutgers University in 2022.

Research Interests

Currently, my research centers on Trustworthy Machine Learning, especially safe and responsible LLM.

I am always looking for related collaboration. If you are interested to chat with me, feel free to drop me an email.

News

[2024-09] I’m invited as a Reviewer of ICLR 2025.
[2024-07] I received the USENIX Security ‘24 Student Grant. Thanks for the generous support!
[2024-06] One paper got accepted to USENIX Security ‘24.
[2024-05] I’m awarded the Synchrony Fellowship for Fall 2024.
[2024-05] I’m awarded the 2024 Predoctoral Reward.
[2024-05] I passed the Ph.D. Qualifying Exam.
[2024-04] I’m invited as a Program Committee/Reviewer of CCS 2024 Artifact Evaluation.
[2023-09] GO Huskies!
[2023-08] I’m invited as a Program Committee/Reviewer of AAAI 2024.
[2023-07] I’m invited as a Ethics Reviewer of NeurIPS 2023.
[2022-07] I started as a software engineer intern at Meta, Instagram Fairness & Equity Group.

Publications

Shenao Yan, Shen Wang, Yue Duan, Hanbin Hong, Kiho Lee, Doowon Kim, Yuan Hong "An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection". In 33rd USENIX Security Symposium (USENIX Security ‘24). [Paper] [github] [media]

Shenao Yan, Guanhong Tao, Xuwei Liu, Juan Zhai, Shiqing Ma, Lei Xu, Xiangyu Zhang "Correlations between deep neural network model coverage criteria and model quality". In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. [Paper] [github]

Hailun Ding, Shenao Yan, Juan Zhai, Shiqing Ma "ELISE: A Storage Efficient Logging System Powered by Redundancy Reduction and Representation Learning". In 30th USENIX Security Symposium (USENIX Security ‘21). [Paper] [github]

Experience

Software Engineer Intern (Machine Learning) - Meta
- Time: Jun. 2022 - Sep. 2022
- Instagram Fairness & Equity, supervised by Dr. Bowen Yu.

Services

Reviewer, International Conference on Learning Representations (ICLR), 2025
Reviewer, Conference on Neural Information Processing Systems (NeurIPS), 2023, 2024
Program Committee Member/Reviewer, Association for the Advancement of Artificial Intelligence (AAAI), 2024
Artifact Evaluation Committee Member/Reviewer, The 31th ACM Conference on Computer and Communications Security (CCS 2024)
Sub-reviewer for WWW 2024, CCS 2024, RAID 2024, NDSS 2025, USENIX 2025

Misc

I’m a fan of photography. Welcome to my blog.