grant
CAREER: Defending Machine Learning Models from Adversarial Threats via Unified Interpretability and Attribution
Organization Rochester Institute of TechLocation ROCHESTER, United StatesPosted 1 Apr 2026Deadline 31 Mar 2031
NSFUS FederalResearch GrantScience FoundationNY
Description preview
Machine learning models increasingly power critical systems in healthcare, finance, and national security. However, their increasing complexity introduces serious risks, as attackers can embed hidden vulnerabilities or exploit obscure failure modes. The project’s novelties are bridging the gap between powerful modern systems and classical,…
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