Graduate School and Research Center in Digital Sciences

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.

Document Doi Bibtex

Title:Evasion and obfuscation in speaker recognition surveillance and forensics
Keywords:evasion, obfuscation, speaker recognition, surveillance, forensics, biometrics, spoofing
Department:Digital Security
Eurecom ref:4237
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Bibtex: @inproceedings{EURECOM+4237, doi = {}, year = {2014}, title = {{E}vasion and obfuscation in speaker recognition surveillance and forensics }, author = {{A}legre, {F}ederico and {S}oldi, {G}iovanni and {E}vans, {N}icholas and {F}auve, {B}enoit and {L}iu, {J}asmin }, booktitle = {{IWBF} 2014, 2nd {I}nternational {W}orkshop on {B}iometrics and {F}orensics, {M}arch 27-28, 2014, {V}alletta, {M}alta}, address = {{V}alletta, {MALTA}}, month = {03}, url = {} }
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