ArXiv TLDR

A Deeper Dive into the Irreversibility of PolyProtect: Making Protected Face Templates Harder to Invert

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2605.03857

Vedrana Krivokuća Hahn, Jérémy Maceiras, Sébastien Marcel

cs.CVcs.CR

TLDR

This paper enhances PolyProtect's biometric template irreversibility by proposing a key selection algorithm, making protected face embeddings harder to invert.

Key contributions

  • Demonstrates PolyProtected templates are easier to invert using cosine distance than Euclidean.
  • Proposes a key selection algorithm to choose polynomial keys that enhance template irreversibility.
  • Algorithm significantly increases inversion difficulty and balances irreversibility across overlap parameters.
  • Shows embedding normalization improves accuracy in the PolyProtected domain.

Why it matters

Biometric template protection is crucial for privacy. This paper significantly enhances PolyProtect's security by making protected face embeddings much harder to invert, offering better control over the security-accuracy trade-off for real-world applications.

Original Abstract

This work presents a deeper analysis of the "irreversibility" property of PolyProtect, a biometric template protection method initially proposed for securing face embeddings. PolyProtect transforms embeddings into protected templates via multivariate polynomials, whose coefficients and exponents are distinct for each subject enrolled in the face recognition system. A polynomial is applied to consecutive sets of elements from a given embedding, where the amount of overlap between the sets is a tunable parameter. We begin our irreversibility analysis by demonstrating that PolyProtected templates are easier to invert using a numerical solver based on cosine distance, as opposed to Euclidean distance (used in the earlier PolyProtect work). To make this inversion more difficult, we then propose a "key selection algorithm", which tries to choose "keys" (coefficients and exponents of the PolyProtect polynomial) that enhance the irreversibility of PolyProtected templates, compared to when the keys are purely random. Our experiments show that this algorithm is effective at generating PolyProtected templates that are significantly more difficult to invert, and that it approximately equalises the irreversibility of PolyProtected templates generated using different "overlap" parameters. This allows for better control of the irreversibility versus accuracy trade-off, known to exist across different overlaps. We also show that accuracy in the PolyProtected domain can be affected by the range in which the embedding elements lie, but that this can be improved by normalizing the embeddings prior to applying PolyProtect. This work is reproducible using our open-source code.

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