Face De-Identification with Perfect Privacy Protection
The rising concern for privacy protection and the associated legal and social responsibilities have led to extensive research into the field of face de-identification over the last decade. To date, the most successful algorithms developed for face de-identification are those based on the k-Same de-identification, which guarantee a recognition rate lower than 1/k. However, the current k-Same solutions such as k-Same-Eigen and k-Same-M all rely on a decent value of k to deliver a good privacy protection. This paper proposes a departure from a fundamental aspect shared by the current k-Same solutions and thereby introduces a new member to the family which achieves perfect privacy protection for any original face regardless of the value of k.
Item Type | Conference or Workshop Item (Paper) |
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Keywords | biometrics, privacy protection |
Date Deposited | 15 May 2025 17:00 |
Last Modified | 30 May 2025 23:26 |
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picture_as_pdf - Face_DeID_with_Perfect_Privacy_Protection_LMeng.pdf
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subject - Submitted Version