你好,我是陈鸿博 👋
System Security · Confidential Computing · Programming Languages
我是 Google DeepMind 的软件工程师。我于印第安纳大学伯明顿分校获得计算机科学博士学位,导师为XiaoFeng Wang教授。 我也与Haixu Tang教授和Danfeng Zhang教授密切合作。
我的研究主要集中在系统安全方向,特别是机密计算(Confidential Computing)、程序验证以及利用编程语言特性增强安全性。 我同时对大语言模型安全、编程语言理论和神经科学感兴趣。 目前,我正在探索 GPU TEE 方向,未来也期望在脑机接口(BCI)安全领域开展研究。

代表论文
- 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)