Carnegie Mellon University — Research on Adversarial Examples

Carnegie Mellon University
Award Date:
To support research on adversarial examples.

Open Philanthropy recommended a grant of $343,235 over three years to Carnegie Mellon University to support research led by Professor Aditi Raghunathan on adversarial examples (inputs optimized to cause machine learning models to make mistakes).

This follows Open Philanthropy’s August 2021 support for Professor Raghunathan’s research, and falls within its focus area of potential risks from advanced artificial intelligence.

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