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Privacy-Enhancing Technologies for Artificial Intelligence-Enabled Systems
April 5, 2024, 4:10 a.m. | Liv d'Aliberti, Evan Gronberg, Joseph Kovba
cs.CR updates on arXiv.org arxiv.org
Abstract: Artificial intelligence (AI) models introduce privacy vulnerabilities to systems. These vulnerabilities may impact model owners or system users; they exist during model development, deployment, and inference phases, and threats can be internal or external to the system. In this paper, we investigate potential threats and propose the use of several privacy-enhancing technologies (PETs) to defend AI-enabled systems. We then provide a framework for PETs evaluation for a AI-enabled systems and discuss the impact PETs may …
artificial artificial intelligence arxiv can cs.cr deployment development external impact intelligence internal may potential threats privacy system systems technologies threats vulnerabilities
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