SoK: Privacy-Enhancing Technologies in Artificial Intelligence
Nouha Oualha
TL;DR
This survey paper reviews the landscape of privacy-enhancing technologies (PETs) in AI, analyzing their integration, achievements, and ongoing challenges to safeguard personal data amidst AI's expanding influence.
Contribution
It provides a comprehensive overview of PETs in AI, highlighting current implementations, benefits, and unresolved issues in data privacy protection.
Findings
PETs effectively enable privacy-preserving AI data processing
Significant progress in integrating PETs into AI systems
Challenges remain in scalability and usability of PETs
Abstract
As artificial intelligence (AI) continues to permeate various sectors, safeguarding personal and sensitive data has become increasingly crucial. To address these concerns, privacy-enhancing technologies (PETs) have emerged as a suite of digital tools that enable data collection and processing while preserving privacy. This paper explores the current landscape of data privacy in the context of AI, reviews the integration of PETs within AI systems, and assesses both their achievements and the challenges that remain.
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data