Welcome to CURIOSITY!
CURIOSITY is a cybersecurity research group led by Prof. Zhenkai Liang at NUS.
Our research mainly focuses on system security, covering provenance, anomaly detection, trusted computing, Android malware detection, cyber range and attack replay, vulnerability assessment, program analysis, fuzzing and testing, AI for security, etc.
Group Motto: Understanding systems, abstracting knowledge, and connecting facts.
理解系统，提炼知识，参悟规律。
Latest News
🎉 Our group website is ready!
🎉 Our recent work on evaluating disassemblers via dynamic tracing is accepted in NDSS BAR'24!
🎉 Our recent work on detecting logic bugs in graph database engines is accepted in ICSE'24!
Selected Publications
Refer to this link for the full list of publications.
Detecting Logic Bugs in Graph Database Management Systems via Injective and Surjective Graph Query Transformation
In Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024.
Learning Graph-based Code Representations for Source-level Functional Similarity Detection
In Proceedings of the 45th International Conference on Software Engineering, 2023.
PalanTír: Optimizing Attack Provenance with Hardware-enhanced System Observability
In Proceedings of the 29th ACM Conference on Computer and Communications Security, 2022.
FlowMatrix: GPU-Assisted Information-Flow Analysis through Matrix-Based Representation
In Proceedings of the 31st USENIX Security Symposium, 2022.
Tell: Log Level Suggestions via Modeling Multi-level Code Block Information
In Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, 2022.
ShadeWatcher: Recommendation-guided Cyber Threat Analysis using System Audit Records
In Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022.
Watson: Abstracting Behaviors from Audit logs via Aggregation of Contextual Semantics
In Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021.