🧐🔍👀 I am actively recruiting motivated PhD students for Fall 2024!
Julia Gomezrangel*, Young Lee, Bozhen Liu. “Security in the Wild: An Empirical Analysis of LLM-Powered Applications and Local Inference Frameworks.” AIware 2025 preprint
Julia Gomezrangel*, Alvaro Vazquez†, Young Lee, Kadir Alpaslan Demir and Bozhen Liu. “Rising Fast, Prone to Risk: How Open-Source LLM-Powered Apps Are Designed and Secured.” AIxSE 2025 preprint
Kadir Alpaslan Demir, Rohith Gadamsethy* and Bozhen Liu. “Generative AI for Software Engineering: Generative AI Effectiveness and Efficiency in Software Development Documentation.” AIxSE 2025
Kadir Alpaslan Demir, Tarun Narasimha Varma Muppalla*, Bozhen Liu. “Generative AI Efficiency and Effectiveness in Software Project Documentation Review Process.” Proc. of International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA 2025).
Bozhen Liu and Dhruti Joshi*. 2024. GoGuard: Efficient Static Blocking Bug Detection for Go. International Static Analysis Symposium (SAS 2024). preprint
Yoonsik Cheon, Bozhen Liu and Carlos Rubio-Medrano. 2024. Asserting Frame Properties. Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT 2024. https://doi.org/10.5220/0012786600003753
Bozhen Liu and Jeff Huang. 2022. SHARP: fast incremental context-sensitive pointer analysis for Java. Proc. ACM Program. Lang. 6, OOPSLA1, Article 88 (April 2022), 28 pages. https://doi.org/10.1145/3527332
Bozhen Liu, Peiming Liu, Yanze Li, Chia-Che Tsai, Dilma Da Silva, and Jeff Huang. 2021. When threads meet events: efficient and precise static race detection with origins. In Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation (PLDI 2021). Association for Computing Machinery, New York, NY, USA, 725–739. https://doi.org/10.1145/3453483.3454073
Bradley Swain, Bozhen Liu, Peiming Liu, Yanze Li, Addison Crump, Rohan Khera, Jeff Huang, “OpenRace: An Open Source Framework for Statically Detecting Data Races,” 2021 IEEE/ACM 5th International Workshop on Software Correctness for HPC Applications (Correctness), St. Louis, MO, USA, 2021, pp. 25-32, doi: 10.1109/Correctness54621.2021.00009.
Yanze Li, Bozhen Liu, and Jeff Huang. 2019. SWORD: a scalable whole program race detector for Java. In Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings (ICSE ‘19). IEEE Press, 75–78. https://doi.org/10.1109/ICSE-Companion.2019.00042
Bozhen Liu, Jeff Huang, and Lawrence Rauchwerger. 2019. Rethinking Incremental and Parallel Pointer Analysis. ACM Trans. Program. Lang. Syst. 41, 1, Article 6 (March 2019), 31 pages. https://doi.org/10.1145/3293606
Bozhen Liu and Jeff Huang. 2018. D4: fast concurrency debugging with parallel differential analysis. In Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2018). Association for Computing Machinery, New York, NY, USA, 359–373. https://doi.org/10.1145/3192366.3192390
CRII: SHF: Towards an Automated Distributed Concurrency Testing Framework for Rust
Towards the Safety and Security Gap of Integrating LLMs into Software
Cross-Language Pointer Analysis Enhanced by AI
Activities
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