NSF award 2452834 · Washington University

PDaSP Track 2: Explainable Auditing of ML Models for Privacy Violations

Final report due

28 January 2029

in 833 days · The award ends on 30 September 2028.

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No-cost extension notice20 Sep 2028in 703 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Jan 2029in 833 days
award ending 2028-09-30 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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So the final report is due by 28 January 2029.

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Award card

Award number: 2452834
Period of support: 1 Oct 2025 – 30 Sep 2028
Amount: $400,000
Awardee: Washington University, Saint Louis, MO
Program: Privacy Preserving Data Sharin
Directorate: TIP

Abstract

The growing use of artificial intelligence in healthcare and medical research has created a difficult challenge: researchers need to share their computer models to advance scientific discovery, but these models can reveal private information about the patients whose data was used to create them. Organizations are often reluctant to share their computer models because of privacy risks, even though withholding these…

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