grant
CAREER: Privacy Auditing Frameworks and Defenses for Machine Learning Models Trained on Tabular Data
Organization Pennsylvania State Univ University ParkLocation UNIVERSITY PARK, United StatesPosted 15 Jul 2025Deadline 30 Jun 2030
NSFUS FederalResearch GrantScience FoundationPA
Description preview
This project's goal is to build better methods for assessing privacy risks in machine learning (ML) models trained using data in table-based formats. ML models trained on tabular data (e.g., patient records, loan application records) are commonly used in privacy-sensitive domains such as health or finance. This makes them valuable targets for…
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