@inproceedings{a4364172e0364a7f95ae0d76c733bac5,
title = "Poster: Secure authentication from facial attributes with no privacy loss",
abstract = "Biometric authentication is more secure than using regular passwords, as biometrics cannot be {"}forgotten{"} and contain high entropy. Thus, many constructions rely on biometric features for authentication, and use them as a source for {"}good{"} cryptographic keys. At the same time, biometric systems carry with them many privacy concerns. We describe a proof-of-concept (PoC) which transforms facial attributes from a single image into keys in a consistent, discriminative, and privacy-aware manner. The outcome is a user-specific string that cannot be guessed, and it reveals no information concerning the users of the system, even when the system's secrets are revealed.",
keywords = "biometric credentials, face recognition, privacy-preserving",
author = "Orr Dunkelman and Margarita Osadchy and Mahmood Sharif",
year = "2013",
doi = "https://doi.org/10.1145/2508859.2512511",
language = "الإنجليزيّة",
isbn = "9781450324779",
series = "Proceedings of the ACM Conference on Computer and Communications Security",
pages = "1403--1405",
booktitle = "CCS 2013 - Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security",
note = "2013 ACM SIGSAC Conference on Computer and Communications Security, CCS 2013 ; Conference date: 04-11-2013 Through 08-11-2013",
}