CALL FOR PAPERS
IEEE SIGNAL PROCESSING MAGAZINE
Special Issue on Biometric Security and Privacy
Guest Editors
Nicholas Evans - EURECOM, France
Andrew Teoh Beng Jin - Yonsei University, Seoul, South Korea
Sébastien Marcel - Idiap Research Institute, Switzerland
Arun Ross - Michigan State University, USA
Biometrics is the science of recognising individuals based on their physical and behavioural traits such as face, fingerprints, iris, voice, gait and signature. A typical biometric system may be viewed as a pattern recognition system which utilises advanced signal processing schemes to compare and match biometric data. The past decade has seen a rapid increase in biometrics research as well as the deployment of large-scale biometric solutions in civilian and law enforcement applications. Since the biometric data of an individual can be viewed as being personal and sensitive, issues related to biometric security and privacy have been raised. These include (a) spoofing, where an adversary presents a falsified biometric trait to the system with the intention of masquerading as another person; (b) evasion, where a person attempts to obfuscate or modify a biometric trait in order to avoid being detected by the system; (c) database alteration, where the templates stored in a database are modified in order to undermine system integrity; and (d) template compromise, where the stored biometric data is perused or stolen and exploited for illegitimate means. The goal of this special issue is to highlight recent advances made in the field of biometrics security and privacy protection. A number of signal processing methods have been developed to analyse the vulnerability of biometric systems and design solutions to mitigate their impact. At the same time, privacy-preserving constructs have been developed by signal processing researchers in order to ensure that stored and/or transmitted biometric data is adequately protected so as to prevent their use for purposes beyond those intended. The special issue will bring together the latest work in biometric security and privacy protection, with an emphasis on tutorial and review-style articles.
The EU FP7 TABULA RASA project has been identified as an EU success story. EURECOM's Speech and Audio Processing Research Group led the activities in speaker recognition within TABULA RASA.
After completing his PhD in 'New Insights into Hierarchical Clustering and Linguistic Normalization for Speaker Diarization,' and brief subsequent spell at EURECOM contributing to the European / Joint-national ALIAS project, Dr Simon Bozonnet has accepted a new research position at Telisma, onMobile in Paris. We wish him the very best.
Moctar Mossi Idrissa successfully defends his PhD thesis entitled 'Non-linear AEC with loudspeaker modelling and pre-processing,' sponsorsed by Intel Mobile Communications Group
Dr. Asmaa Amehraye Fillatre joins the Speech and Audio Processing Research Group to work on the ALIAS project and to take over from Ravichander Vipperla and Simon Bozonnet. Asmaa's Ph.D research was related to perceptual speech enhancement and was supported at Telecom Bretagne in collaboration with the University Mohamed V-Agdal of Morocco. From December 2008 to November 2009, she was a post-doctoral internship at the Signal and Image Processing Department at TELECOM Paristech where she worked on Multimodal Dialogue Systems. From November 2009 to July 2012, Assma was an Assistant-Professor at ESIGETEL (Fontainebleau). During this time she worked on the national QuoVADis project and the EU CompanionAble projects whose goals were to provide Ambient Intelligence technologies to help the elderly live at home through an assistive environment. Her previous expertise in these projects will be of great benefit to the ALIAS project.
After one year with Nuance Communications, EURECOM alumni Dr. Dong Wang is appointed as an Assistant Professor at Tsinghua University in China.