Affective computing is currently one of the most active research topics, furthermore, having
increasingly intensive attention. This strong interest is driven by a wide spectrum of …

Unimodal biometric systems have to contend with a variety of problems such as noisy data,
intra-class variations, restricted degrees of freedom, non-universality, spoof attacks, and …

We present VC3, the first system that allows users to run distributed MapReduce
computations in the cloud while keeping their code and data secret, and ensuring the …

We introduce a seemingly impossible task: given only an audio clip of someone speaking,
decide which of two face images is the speaker. In this paper we study this, and a number of …

A wide variety of systems requires reliable personal recognition schemes to either confirm or
determine the identity of an individual requesting their services. The purpose of such …

Password patterns, as used on current Android phones, and other shape-based
authentication schemes are highly usable and memorable. In terms of security, they are …

Biometric recognition, or simply biometrics, refers to the use of distinctive anatomical and/or
behavioral characteristics or identifiers (eg, fingerprints, face, iris, voice, and hand geometry) …

Biometrics deals with identification of individuals based on their biological or behavioral
characteristics. Biometrics has lately been receiving attention in popular media, it is widely …

Multimodal biometric systems consolidate the evidence presented by multiple biometric
sources and typically provide better recognition performance compared to systems based on …

Face recognition presents a challenging problem in the field of image analysis and
computer vision, and as such has received a great deal of attention over the last few years …