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
Task
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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