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Fuzzy Commitments Offer Insufficient Protection to Biometric Templates
  Produced by Deep Learning

Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning

24 December 2020
Danny Keller
Margarita Osadchy
O. Dunkelman
    CVBM
    AAML
ArXivPDFHTML

Papers citing "Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning"

4 / 4 papers shown
Title
Reversing the Irreversible: A Survey on Inverse Biometrics
Reversing the Irreversible: A Survey on Inverse Biometrics
M. Gomez-Barrero
Javier Galbally
56
67
0
05 Jan 2024
Privacy Attacks Against Biometric Models with Fewer Samples:
  Incorporating the Output of Multiple Models
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
Sohaib Ahmad
Benjamin Fuller
Kaleel Mahmood
AAML
27
0
0
22 Sep 2022
Biometric Template Protection for Neural-Network-based Face Recognition
  Systems: A Survey of Methods and Evaluation Techniques
Biometric Template Protection for Neural-Network-based Face Recognition Systems: A Survey of Methods and Evaluation Techniques
Vedrana Krivokuća Hahn
S´ebastien Marcel
CVBM
32
29
0
11 Oct 2021
Deep Face Fuzzy Vault: Implementation and Performance
Deep Face Fuzzy Vault: Implementation and Performance
Christian Rathgeb
J. Merkle
Johanna Scholz
Benjamin Tams
Vanessa Nesterowicz
CVBM
42
45
0
04 Feb 2021
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