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Volume 33 - Issue 1 (Regular Issue)
Transactions Papers

A comprehensive review of AI-powered facial recognition systems with enhanced privacy features

Praveen Kumar J, Anwar Basha H, O Pandithurai and G Saikrishnan
Pages: 1-9Published: 23 Apr 2026
DOI: 10.33430/V33N1THIE-2025-0062
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Praveen Kumar J, Anwar Basha H, Pandithurai O and Saikrishnan G, A comprehensive review of AI-powered facial recognition systems with enhanced privacy features, HKIE Transactions, Vol. 33, No. 1 (Regular Issue), Article THIE-2025-0062, 2026, 10.33430/V33N1THIE-2025-0062

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Abstract:

Facial recognition systems that use artificial intelligence (AI) have transformed a number of applications, such as identity verification, security, and surveillance. However, issues with data security and privacy have become significant obstacles. AI-driven facial recognition systems are thoroughly examined in this paper, with a particular emphasis on improved privacy features. The study examines the most cutting-edge privacy-preserving facial recognition techniques currently in use, such as homomorphic encryption, secure multi-party computation, and differential privacy. For academics, practitioners, and developers in the field, the discussion of each approach's advantages, disadvantages, and potential future paths offers insightful information.

Keywords:

facial recognition, artificial intelligence, homomorphic encryption, differential privacy, multi-party computation

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