“Much of our work aims at making deep learning algorithms more robust, safer, and understanding how data impacts how models function.”In their own words: zicokolter.com
Professor and Director of the Machine Learning Department at Carnegie Mellon University, whose group works to make deep learning more robust and safer.
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Received $370k from 1 funder
Checked 25 Oct 2026
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1 grant totalling $370k, newest first.
2025 1 grant · $370k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| 11 Feb 2025 | Science of Trustworthy AI | ~$370k | Science of Trustworthy AI — AI Safety Science (Feb 2025 cohort): Carnegie Mellon University. Project: Understanding the Mechanism of Adversarial Transfer Across AI Models. One of 27 AI Safety Science awards; per-project amount undisclosed. — Science of Trustworthy AI — AI Safety source |