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Practical Privacy-Preserving Face Identification based on Function-Hiding Functional Encryption

Abstract : Leveraging on function-hiding Functional Encryption (FE) and inner-product-based matching, this work presents a practical privacypreserving face identification system with two key novelties: switching functionalities of encryption and key generation algorithms of FE to optimize matching latency while maintaining its security guarantees, and identifying output leakage to later formalize two new attacks based on it with appropriate countermeasures. We validate our scheme in a realistic face matching scenario, attesting its applicability to pseudo real-time one-use face identification scenarios like passenger identification.
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Submitted on : Wednesday, September 29, 2021 - 12:02:37 PM
Last modification on : Saturday, June 25, 2022 - 9:17:56 AM
Long-term archiving on: : Thursday, December 30, 2021 - 7:00:06 PM


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  • HAL Id : hal-03358323, version 1



Alberto Ibarrondo, Hervé Chabanne, Melek Önen. Practical Privacy-Preserving Face Identification based on Function-Hiding Functional Encryption. CANS 2021, 20th International Conference on Cryptology and Network Security, Dec 2021, Vienna, Austria. ⟨hal-03358323⟩



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