Evasion and obfuscation in speaker recognition surveillance and forensics

Alegre, Federico; Soldi, Giovanni; Evans, Nicholas; Fauve, Benoit; Liu, Jasmin
IWBF 2014, 2nd International Workshop on Biometrics and Forensics, March 27-28, 2014, Valletta, Malta

This paper presents the first investigation of evasion and obfuscation in the context of speaker recognition surveillance and forensics. In contrast to spoofing, which aims to provoke false acceptances in authentication applications, evasion and obfuscation target detection and recognition modules in order to provoke missed detections. The paper presents our analysis of each vulnerability and the potential for countermeasures using standard NIST datasets and protocols and six different speaker recognition systems (from a standardGMMUBM system to a state-of-the-art i-vector system). Results show that all systems are vulnerable to both evasion and obfuscation attacks and that a new generalised countermeasure shows promising detection performance. While all evasion attacks and almost all obfuscation attacks are detected in the case of this particular setup, the work nonetheless highlights the need for further research.

Sécurité numérique
Eurecom Ref:
© 2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PERMALINK : https://www.eurecom.fr/publication/4237