2013
DOI: 10.1109/tifs.2013.2262273
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Fully Private Noninteractive Face Verification

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Cited by 57 publications
(38 citation statements)
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“…Thanks to a packed representation of the biometric templates, the protocol is able to compute the Hamming distance with only three products. Tests performed on a 3.07-GHz processor show that only 18.10 milliseconds are necessary for distance computation, which is not only faster than the SHEbased implementation of [21], but also faster than the Hamming distance computational time of SCiFI (310 milliseconds) [26] and [30] (150 milliseconds). In both [21] and [39], only the distance is computed by means of SHE operating on integers.…”
Section: Optimization Of Sped Protocols Through Cryptographic Primitimentioning
confidence: 97%
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“…Thanks to a packed representation of the biometric templates, the protocol is able to compute the Hamming distance with only three products. Tests performed on a 3.07-GHz processor show that only 18.10 milliseconds are necessary for distance computation, which is not only faster than the SHEbased implementation of [21], but also faster than the Hamming distance computational time of SCiFI (310 milliseconds) [26] and [30] (150 milliseconds). In both [21] and [39], only the distance is computed by means of SHE operating on integers.…”
Section: Optimization Of Sped Protocols Through Cryptographic Primitimentioning
confidence: 97%
“…An efficient OT implementation of both Hamming and squared Euclidean Distance has been proposed in [20]. It is also possible to implement such distances through SHE [21], while, given the limited number of operations required in both cases, resorting to FHE is not necessary.…”
Section: Biometric Recognition Protocolsmentioning
confidence: 99%
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