Advancing the Research and Development of Assured Artificial Intelligence and Machine Learning Capabilities
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Authors
Shipp, Tyler J.
Clouse, Daniel J.
De Lucia, Michael J.
Ahiskali, Metin B.
Steverson, Kai
Mullin, Jonathan
Bastian, Nathaniel D.
Issue Date
2020
Type
Conference presentations, papers, posters
Language
Keywords
AI Trusted Robustness , AI System Security , AI/ML Architecture Vulnerabilities
Alternative Title
Abstract
Artificial intelligence (AI) and machine learning (ML) have become increasingly vital in the development of novel defense and intelligence capabilities across all domains of warfare. An adversarial AI (A2I) and adversarial ML (AML) attack seeks to deceive and manipulate AI/ML models. It is imperative that AI/ML models can defend against these attacks. A2I/AML defenses will help provide the necessary assurance of these advanced capabilities that use AI/ML models. The
A2I Working Group (A2IWG) seeks to advance the research and development of assured AI/ML capabilities via new A2I/AML defenses by fostering a collaborative environment across the U.S. Department of Defense and U.S. Intelligence Community. The A2IWG aims to identify specific challenges that it can help solve or address more directly, with initial focus on three topics: AI Trusted Robustness, AI System Security, and AI/ML Architecture Vulnerabilities.
Description
Presented at AAAI FSS-20: Artificial Intelligence in Government and Public Sector, Washington, DC, USA
Citation
Tyler J. Shipp, Daniel J. Clouse, Michael J. De Lucia, Metin B. Ahiskali, Kai Steverson, Jonathan M. Mullin, Nathaniel D. Bastian. "Advancing the Research and Development of Assured Artificial Intelligence and Machine Learning Capabilities". AAAI FSS-20, 2020.
Publisher
AAAI FSS-20