publications

2023

1. CCS’23

   DSFuzz: Detecting Deep State Bugs with Dependent State Exploration

   Yinxi Liu, and Wei Meng

   In 2023 ACM SIGSAC Conference on Computer and Communications Security (CCS) , 2023

2022

1. CCS’22

   Acquirer: A Hybrid Approach to Detecting Algorithmic Complexity Vulnerabilities

   Yinxi Liu, and Wei Meng

   In 2022 ACM SIGSAC Conference on Computer and Communications Security (CCS) , 2022

2021

1. ASE’21

   Understanding and Detecting Performance Bugs in Markdown Compilers

   Penghui Li , Yinxi Liu, and Wei Meng

   In 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) , 2021
2. SP’21

   Revealer: Detecting and Exploiting Regular Expression Denial-of-Service Vulnerabilities

   Yinxi Liu, Mingxue Zhang , and Wei Meng

   In 2021 IEEE Symposium on Security and Privacy (SP) , 2021

2020

1. AI4AN’20

   Interpretable Anomaly Detection in Variable-Length Co-Evolving Rhythmic Sequences

   Yinxi Liu, Kai Yang , Shaoyu Dou , and 1 more author

   Proceedings of The 1st Workshop on Artificial Intelligence for Anomalies and Novelties (AI4AN workshop in IJCAI ’20), 2020

2019

1. ITML’19

   Local Group Anomaly Detection for Multiple Time Series with Synchronization Errors

   Yinxi Liu, Kai Yang , and Shaoyu Dou

   Proceedings of The NeurIPS 2019 Workshop on Information Theory and Machine Learning (ITML workshop in NeuraIPS ’19), Dec 2019