Presentation
7 June 2024 REVEAL: AI under stress to quantify vulnerabilities
Misty Blowers, Santos S. Salinas, Seth A. Bailey
Author Affiliations +
Abstract
According to Executive Order 14110 emphasizing the safe, secure, and trustworthy advancement and utilization of artificial intelligence, it mandates conducting research, development and deployment with a strong emphasis on ethical practices. The United States’ Department of Defense (DoD) and numerous commercial industries require a robust methodology to test their AI/ML models, ensuring regulatory compliance while safeguarding the security and intellectual property of their models. Reverse Engineering and Vulnerability Elucidation of ALgorithms (REVEAL) is a groundbreaking invention which is designed to enable the reverse engineering and characterization of AI/ML algorithms without access to the underlying code base. With this type of “blackbox assessment”, REVEAL will provide a method to enumerate the security and robustness of various AI enabled systems. It will allow developers to improve models, provide new strategies for test and evaluation, and help ensure comprehensive adherence to governmental regulations.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Misty Blowers, Santos S. Salinas, and Seth A. Bailey "REVEAL: AI under stress to quantify vulnerabilities", Proc. SPIE 13058, Disruptive Technologies in Information Sciences VIII, 1305816 (7 June 2024); https://doi.org/10.1117/12.3029669
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KEYWORDS
Artificial intelligence

Evolutionary algorithms

Reverse engineering

Algorithm development

Reverse modeling

Systems modeling

Computer security

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