Hello, I'm Hongbo Chen 👋
System Security · Confidential Computing · Programming Languages
I’m a Software Engineer at Google DeepMind. I received my PhD in Computer Science from Indiana University Bloomington, advised by Prof. XiaoFeng Wang. I also worked closely with Prof. Haixu Tang and Prof. Danfeng Zhang.
My research mainly focuses on system security, especially confidential computing, program verification, and leveraging programming language features to enhance security. I’m also interested in LLM for security, programming languages, and neuroscience. Currently, I’m exploring GPU TEE and would like to work on security of BCI (Brain-Computer Interface) in the future.
Besides security research, I’m also interested in photography (check my 1x), tennis, HiFi, anime, board games and video games.

Selected Publications
- 2025Agora: Trust Less and Open More in Verification for Confidential ComputingProceedings of the ACM on Programming Languages (OOPSLA 2025)
- 2025PICACHV: Formally Verified Data Use Policy Enforcement for Secure Data Analytics34th USENIX Security Symposium (USENIX Security 25)
- 2025LineBreaker: Finding Token-Inconsistency Bugs Using Large Language ModelsProceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE 2025)
- 2023A Verified Confidential Computing as a Service Framework for Privacy Preservation32nd USENIX Security Symposium (USENIX Security 23)
- 2022Robbery on DevOps: Understanding and Mitigating Illicit Cryptomining on Continuous Integration Service Platforms2022 IEEE Symposium on Security and Privacy (S&P)
- 2021Understanding TEE Containers, Easy to Use? Hard to TrustarXiv preprint arXiv:2109.01923
- 2021Practical and Efficient in-Enclave Verification of Privacy Compliance2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)