SRI Lab

The Secure, Reliable, and Intelligent Systems (SRI) Lab is a research group in the Department of Computer Science at ETH Zurich. Our research focuses on reliable, secure, and trustworthy machine learning, with emphasis on large language models. We currently study issues of controllability, security and privacy, and reliable evaluation of LLMs, their application to mathematical reasoning and coding, as well as generative AI watermarking, AI regulations, federated learning privacy, robustness and fairness certification, and quantum computing. Our work has led to six ETH spin-offs: NetFabric (AI for systems), LogicStar (AI code agents), LatticeFlow (robust ML), InvariantLabs (secure AI agents; acquired), DeepCode (AI for code; acquired), and ChainSecurity (security verification; acquired). To learn more about our work see our Research page, recent Publications, and GitHub releases. To stay up to date follow our group on Twitter.

Latest News

11.07.2026

Our team placed second in Track 3: SeePhys Pro at the 3rd AI for Math Workshop Challenge at ICML 2026.

12.04.2026

SRI Lab is presenting 8 papers at the main track of ICLR 2026 in Rio de Janeiro, Brazil. Two papers have been awarded with an oral presentation.

24.03.2026

Coding agents fail to recognize when code is correct and attempt to “fix” it over 50% of the time. This indicates current agents still lack good software engineering judgement. Read our latest blog post to learn more.

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