INL Innovation Spotlight Innovative Data Concealment for Secure AI Research: The DIOD Methodology
ID: BA-1310Type: Special Notice
Overview

Buyer

ENERGY, DEPARTMENT OFENERGY, DEPARTMENT OFBATTELLE ENERGY ALLIANCE–DOE CNTRIdaho Falls, ID, 83415, USA

PSC

IT AND TELECOM - PLATFORM PRODUCTS: DATABASE, MAINFRAME, MIDDLEWARE (HW, PERPETUAL LICENSE SOFTWARE) (7H20)

Original Source

https://sam.gov/opp/2ae7e0cfae6f44d7b1222f01f3ee7dcd/view
Timeline
    Description

    The Department of Energy, through the Battelle Energy Alliance at the Idaho National Laboratory (INL), is seeking innovative solutions for data concealment in AI research, specifically through the DIOD (Deceptive Infusion of Data) methodology. This groundbreaking approach aims to enhance data sharing while ensuring the confidentiality of sensitive information, addressing the challenges posed by traditional data anonymization techniques that often compromise data utility. The DIOD methodology is particularly relevant for sectors such as defense, healthcare, and energy, where secure data sharing is critical for innovation. Interested parties can reach out to Andrew Rankin at andrew.rankin@inl.gov for further discussions on potential partnerships and licensing opportunities, as this initiative does not involve procurement or funding for external services.

    Point(s) of Contact
    Andrew Rankin
    andrew.rankin@inl.gov
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