Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Amina Bassit"'
Publikováno v:
IET Biometrics, Vol 11, Iss 5, Pp 430-444 (2022)
Abstract Bloom filters (BFs) and homomorphic encryption (HE) are prominent techniques used to design biometric template protection (BTP) schemes that aim to protect sensitive biometric information during storage and biometric comparison. However, the
Externí odkaz:
https://doaj.org/article/2d7a7266494640278fa5430b9f0162cc
Publikováno v:
IET Biometrics, Vol 11, Iss 5, Pp 407-419 (2022)
Abstract Most deep learning‐based image classification models are vulnerable to adversarial attacks that introduce imperceptible changes to the input images for the purpose of model misclassification. It has been demonstrated that these attacks, ta
Externí odkaz:
https://doaj.org/article/6cb3ccf0081846d488b882018f1b3d39
Publikováno v:
2022 IEEE International Joint Conference on Biometrics (IJCB)
The cutting-edge biometric recognition systems extract distinctive feature vectors of biometric samples using deep neural networks to measure the amount of (dis-)similarity between two biometric samples. Studies have shown that personal information (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::756d880152724f568cfae1ba1a9907ec
https://research.utwente.nl/en/publications/e5113044-8d0e-47ec-bfc1-b9879a35b3e1
https://research.utwente.nl/en/publications/e5113044-8d0e-47ec-bfc1-b9879a35b3e1
Fast and Accurate Likelihood Ratio-Based Biometric Verification Secure Against Malicious Adversaries
Autor:
Florian Hahn, Joep Peeters, Amina Bassit, Raymond N.J. Veldhuis, Tom A. M. Kevenaar, Andreas Peter
Publikováno v:
IEEE Transactions on Information Forensics and Security
IEEE transactions on information forensics and security, 16, 5045-5060. IEEE
IEEE transactions on information forensics and security, 16, 5045-5060. IEEE
Biometric verification has been widely deployed in current authentication solutions as it proves the physical presence of individuals. Several solutions have been developed to protect the sensitive biometric data in such systems that provide security
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4472daeb3a4caa240f3a0b2588464433
https://doi.org/10.1109/tifs.2021.3122823
https://doi.org/10.1109/tifs.2021.3122823
Publikováno v:
BIOSIG 2021-Proceedings of the 20th International Conference of the Biometrics Special Interest Group: 15.-17. September 2021 International Digital Conference
BIOSIG 2021-Proceedings of the 20th International Conference of the Biometrics Special Interest Group
BIOSIG
2021 International Conference of the Biometrics Special Interest Group (BIOSIG)
BIOSIG 2021-Proceedings of the 20th International Conference of the Biometrics Special Interest Group
BIOSIG
2021 International Conference of the Biometrics Special Interest Group (BIOSIG)
Bloom filter (BF) and homomorphic encryption (HE) are popular modern techniques used to design biometric template protection (BTP) schemes that aim to protect the sensitive biometric information during storage and the comparison process. However, in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::725e65d5910916f5c721547d3e33b03b
https://research.utwente.nl/en/publications/bfc550fa-7141-427c-91c0-b9f79e19eae1
https://research.utwente.nl/en/publications/bfc550fa-7141-427c-91c0-b9f79e19eae1
Autor:
Amina Bassit, Zohra Rezgui
Publikováno v:
2021 International Conference of the Biometrics Special Interest Group (BIOSIG)
BIOSIG
BIOSIG
Modern biometric systems establish their decision based on the outcome of machine learning (ML) classifiers trained to make accurate predictions. Such classifiers are vulnerable to diverse adversarial attacks, altering the classifiers’ predictions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::076da9a6a7e216fd86e541079f7ecce7