The Secure, Reliable, and Intelligent Systems (SRI) Lab 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 successful ETH spin-offs: (AI for code), ChainSecurity (security verification), and LatticeFlow (robust machine learning). See our Publications to learn more about our work.

Latest Blog Posts

Latest News

Latest News & Blog Posts

The Role of Red Teaming in PETs: In February, our team won the Red Teaming category of the U.S. PETs Prize Challenge, securing a prize of 60,000 USD. In this blog post, we will provide a brief overview of the significance of Red Teaming in the field of Privacy Enhancing Technologies (PETs) research in the context of the competition.

Our latest paper on LLM watermark stealing has been featured in MIT Technology Review! Check out the article and learn more on our project website.

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.

Some of our latest research on LLM privacy has been featured in WIRED magazine! Check out their article and our corresponding paper.

Reliability guarantees on private data: We present Phoenix (CCS '22), the first system for privacy-preserving neural network inference with robustness and fairness guarantees.

Timon Gehr, former doctoral student and current postdoctoral researcher at SRI Lab, has won the ETH Medal for his outstanding doctoral thesis. See website of D-INFK.

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.

7-8 October 2022: Workshop on Dependable and Secure Software Systems, hosting leading scientists who will present the latest research and most advanced methods for addressing this fundamental challenge. Website