Data and AI Security

As organizations move to the hybrid cloud, they must protect sensitive data and comply with regulations that allow them to take advantage of AI. We’re designing systems to monitor and protect data, building trust in AI through robust evaluation, certification, and hardening against attacks.

Our work

Projects

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Federated systems

  • Data and AI Security
  • Adversarial Robustness and Privacy
  • Foundation Models
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Testing for AI

  • Data and AI Security
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Data quality in AI

  • Data and AI Security
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Metadata management

  • Data and AI Security

Publications

Tools + code

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