Email / LinkedIn / GitHub
I am a third-year Ph.D. student in the department of Computer Science and Engineering at
the Chinese University of Hong Kong. I am fortunate to be advised by Prof. @Wei Meng and work with other people in @SecLab.
I obtained my B.S. degree in Computer Science and Technology from
Tongji University in June 2020.
<aside> 💡 My research models the security problems in programming languages and web applications. I aim to ignite a beacon for vulnerability discovery in the sea of program execution paths.
<aside> ⭐ I won the Nomination Award of the 2022 Microsoft Research Asia Fellowship.
Acquirer: A Hybrid Approach to Detecting Algorithmic Complexity Vulnerabilities [PDF]
Yinxi Liu, Wei Meng.
In Proceedings of The 29th ACM Conference on Computer and Communications Security (CCS ‘22), November 2022.
Understanding and Detecting Performance Bugs in Markdown Compilers [PDF/Code]
Penghui Li, Yinxi Liu, Wei Meng.
In Proceedings of The 36th IEEE/ACM International Conference on Automated Software Engineering (ASE '21), November 2021
Revealer: Detecting and Exploiting Regular Expression Denial-of-Service Vulnerabilities [PDF/Code/Talk]
Yinxi Liu, Mingxue Zhang, Wei Meng.
In Proceedings of The 42nd IEEE Symposium on Security and Privacy (Oakland '21), May 2021.
Interpretable Anomaly Detection in Variable-Length Co-Evolving Rhythmic Sequences [PDF]
Yinxi Liu, Kai Yang, Shaoyu Dou, Pan Luo.
In Proceedings of The 1st Workshop on Artificial Intelligence for Anomalies and Novelties (AI4AN workshop in IJCAI ‘20), Jan 2021.
Local Group Anomaly Detection for Multiple Time Series with Synchronization Errors [PDF]
Yinxi Liu, Kai Yang, Shaoyu Dou.
In Proceedings of The NeurIPS 2019 Workshop on Information Theory and Machine Learning (ITML workshop in NeurIPS ‘19), Dec 2019.