Statistical methods protecting sensitive information or the identity of the data owner have become critical to ensure privacy of individuals as well as of organizations. This paper investigates anonymization methods based on representation learning and deep neural networks, and motivated by novel informationtheoretical bounds. We introduce a novel training objective for simultaneously training ...

While media studies have frequently assessed the importance of representation, research in this area has often been siloed by institutional and methodological norms that define academics as “gender”, “race”, or “class” scholars, rather than inclusive scholars all these more. This paper thus responds to recent calls for more intersectional work simultaneously addressing overlapping representatio...

The sensorimotor theory of infancy has been overthrown, but there is little consensus on a replacement. We hypothesize that a capacity for representation is the starting point for infant development, not its culmination. Logical distinctions are drawn between object representation, identity, and permanence. Modern experiments on early object permanence and deferred imitation suggest: (a) even f...

In this paper, we discuss the impact of user’s profiles on identity representations in web 2.0. We introduce a classification of 3 different types of identities: declarative identity, acting identity and calculated identity. This typology summarizes the theoretical model of “self-representation” in interactive devices, originally proposed in [Georges 2007]. “Declarative identity” (1) is constit...

providing analytical and social tools, critical discourse analysis (henceforthcda) can be used to unravel the hidden ideologiesas well as biases in the websof discursive practices involved in texts. in this paper, the van leeuwen’s (1996)cda framework is used to analyze an article from a british broadsheet newspaper,the guardian. to have a more detailed analysis, eleven elements are chosen from...

We present a new approach to biometrics that makes probabilistic inferences about matching without ever estimating an identity “template”. The biometric data is considered to have been created by a noisy generative process. This process consists of (i) a deterministic component, which depends entirely on an underlying representation of identity and (ii) a stochastic component which accounts for...

The Advanced Identity Representation (AIR) Project is a new interdisciplinary approach to the problem of designing identity technologies to enable imaginative selfrepresentations for users by implementing dynamic social identity models grounded in computing and cognitive science. AIR Project research develops models of social computational identity (e.g., characters, avatars, and social network...

Behaving in the real world requires flexibly combining and maintaining information about both continuous and discrete variables. In the visual domain, several lines of evidence show that neurons in some cortical networks can simultaneously represent information about the position and identity of objects, and maintain this combined representation when the object is no longer present. The underly...

Accurate perception of an individual's identity and emotion derived from their actions and behavior is essential for successful social functioning. Here we determined the role of identity in the representation of emotional whole-body actions using visual adaptation paradigms. Participants adapted to actors performing different whole-body actions in a happy and sad fashion. Following adaptation ...