Index
Grant: Carnegie Mellon University — Research on Adversarial Examples (Coefficient Giving → Carnegie Mellon University)
Verdictconfirmed95%
1 check · 4/9/2026Deterministic match: grantee, amount, date matched in source snapshot (2714 rows)
Our claim
entire record- Grantee
- Carnegie Mellon University
- Name
- Carnegie Mellon University — Research on Adversarial Examples
- Amount
- $343,235
- Currency
- USD
- Date
- July 2022
- Notes
[Navigating Transformative AI] 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). Th… expand
[Navigating Transformative AI] 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 our August 2021 support for Professor Raghunathan's research, and falls within our focus area of potential risks from advanced artificial intelligence.
Source evidence
1 src · 1 checkconfirmed95%deterministic-row-match · 4/9/2026
- Name
- Carnegie Mellon University — Research on Adversarial Examples
- Grantee
- Carnegie Mellon University
- Focus Area
- Navigating Transformative AI
- Amount
- $343,235.00
- Date
- July 2022
NoteDeterministic match: grantee, amount, date matched in source snapshot (2714 rows)
Case № IW6lqLtxniFiled 4/9/2026Confidence 95%