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Intern position on spoofing in face and speaker recognition

The Idiap research institute is coordinating two major European projects in Biometrics: TABULA RASA ( http://www.tabularasa-euproject.org ) and BEAT
( http://www.beat-eu.org ). In the context of these projects, the biometrics group at Idiap ( http://www.idiap.ch/~marcel/professional/Research_Team.html ) is well-known for his work on spoofing and anti-spoofing ( http://www.idiap.ch/~marcel/professional/Publications.html#topics:Spoofing ).

Spoofing is the action of outwitting a biometric sensor by presenting a counterfeit biometric evidence of a valid user. It is a direct attack to the sensory input of a biometric system and the attacker does not need previous knowledge about the recognition algorithm. Most of the biometric modalities are not resistant to spoofing attacks: the biometric systems are usually designed to only recognize identities without concern whether the identity is live or not. Despite the existence of very sophisticated biometric systems nowadays, implementing anti-spoofing schemes for them is still in its infancy.

Idiap has explored already spoofing to visual spectra face recognition using printed photos, displayed photos/videos and 3D masks, and developed anti-spoofing methods. In the context of a new funded project, Idiap is looking to explore voice spoofing, as well as spoofing to Near-Infrared and 3D face recognition with depth sensors.

The goal of the project is to collect a novel audio-visual spoofing database for studies in face/voice spoofing and anti-spoofing.

Idiap seeks an Intern student to develop and to setup a audio-visual capture environment, to collect a spoofing database, to evaluate the vulnerability to spoofing of reference speaker recognition systems, and possibly to develop anti-spoofing algorithms.

The student will work closely with a PostDoc researcher and will report directly to Dr Sébastien Marcel ( http://www.idiap.ch/~marcel ).
The student will be using the BOB open source library (http://idiap.github.com/bob/ ) developed at Idiap.

Applicants should have a background in statistics or applied mathematics, optimization, linear algebra, signal processing, and machine learning. Applicants should also have strong programming skills and be familiar with C/C++, various scripting languages (Python is a plus) and with the Linux environment. MATLAB is not a plus. Any applicant might undergo a series of tests including programming.

The starting date is immediate. The appointment is for 6 months. Salary is 2000 CHF per month.

Apply online at:
http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710147%27%7D

More information at:

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