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SPY Lab

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About

The Secure and Private AI (SPY) Lab, part of ETH Zurich, conducts advanced research into the security, privacy, and trustworthiness of machine learning systems. The lab employs an adversarial perspective, designing sophisticated attacks to probe the worst-case performance of AI systems. This approach aims to deeply understand and ultimately enhance the safety and robustness of AI technologies. Their work includes benchmarking AI agent robustness (e.g., AgentDojo) and analyzing methods like unlearning in large language models.

Platform
Web
Task
ai security

Features

developing consistency checks for language model forecasters

analyzing unlearning methods in llms

evaluating ai agent robustness

designing adversarial attacks on ml systems

research on machine learning trustworthiness

research on machine learning privacy

research on machine learning security

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