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Search Publications by: Joanna DeFranco (Fed)

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Displaying 1 - 3 of 3

Proxy Validation and Verification for Critical AI Systems

September 26, 2024
Author(s)
Phillip Laplante, Joanna DeFranco, D. Richard Kuhn, Jeff Voas
This white paper offers a suggestion that prior testing artifacts from similar AI systems can be reused for new AI software. Testing AI and Machine learning software is difficult, and if prior testing results from similar systems could be applied as a

An Infrastructure for Secure Data Sharing: A Clinical Data Implementation

May 15, 2024
Author(s)
Joanna DeFranco, Joshua Roberts, David Ferraiolo, Daniel Compton
Objective: To address database interoperability challenges to improve collaboration among disparate organizations. Materials and Methods: We developed a lightweight system to allow broad but well-controlled data sharing while preserving local data

Use Cases for Secure and Trusted Granular Data Sharing Among Disparate Databases

January 30, 2024
Author(s)
Joanna DeFranco, David Ferraiolo, Joshua Roberts, D. Richard Kuhn
Sharing data among disparate organizations can be extremely difficult, when the data comes from different database management systems (DBMS). Most problematic is that data stored at another organization most likely uses different DBMS schemas and