The Secure, Reliable, and Intelligent Systems Lab (SRI) is a research
group in the Department of Computer Science at ETH Zurich.
Our current research focus is on the areas of reliable, secure,
robust and fair machine learning, probabilistic and quantum
programming, and machine learning for code.
Our work led to three ETH spin-offs: DeepCode.ai (AI for Code), ChainSecurity (security verification),
and LatticeFlow (robust machine learning).
Please see Research and
Publications to learn
more.
Latest Blog Posts
Latest News
Latest News & Blog Posts
LAMP: Extracting text from gradients with language model priors: In this work we present an attack on federated learning's privacy specific to the text domain. We show that federated learning in the text domain can expose a lot of user data.
Reliability guarantees on private data: We present Phoenix (CCS '22), the first system for privacy-preserving neural network inference with robustness and fairness guarantees.
Why tighter convex relaxations harm certified training: We investigate a long-standing paradox in the field of certified training, identifying previously overlooked properties of convex relaxations which affect training success.
SRI Lab at ICLR 2022: SRI Lab will present five works at ICLR 2022! In this meta post we aggregate all content related to our ICLR papers, including links to the conference portal and individual blogposts where you can learn more about the topics we currently focus on.
