“Adversarial Robustness of LLMs' Safety Alignment: How can we build safer LLMs and improve the evaluation of their robustness?”In its own words: gauthiergidel.github.io
Research group of Gauthier Gidel (DIRO, Université de Montréal; core Mila member, Canada CIFAR AI Chair) working on optimization and machine learning, including adversarial robustness of LLM safety.
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Received $72k from 1 funder
Led by Gauthier Gidel (PI)Checked 26 Oct 2026
Money flows
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All grants
1 grant totalling $72k, newest first.
2025 1 grant · $72k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Jun 2025 | Canadian AI Safety Institute (CAISI) Research Program at CIFAR | $72k | CAISI AI Safety Catalyst Grant (first round): Adversarial robustness of LLM safety. CA$100,000 for one year, at CA$1 = US$0.72 source |