Miguel Núñez del Prado Cortez

Learn More
The N-methyl-D-aspartate receptor (NMDAR), a major excitatory ligand-gated ion channel in the central nervous system (CNS), is a principal mediator of synaptic plasticity. Here we report that neuropilin tolloid-like 1 (Neto1), a complement C1r/C1s, Uegf, Bmp1 (CUB) domain-containing transmembrane protein, is a novel component of the NMDAR complex critical(More)
Due to the emergence of geolocated applications, more and more mobility traces are generated on a daily basis and collected in the form of geolocated datasets. If an unauthorized entity can access this data, it can used it to infer personal information about the individuals whose movements are contained within these datasets, such as learning their home and(More)
With the advent of GPS-equipped devices, a massive amount of location data is being collected, raising the issue of the privacy risks incurred by the individuals whose movements are recorded. In this work, we focus on a specific inference attack called the de-anonymization attack, by which an adversary tries to infer the identity of a particular individual(More)
A geolocated system generally belongs to an individual and as such knowing its location reveals the location of its owner, which is a direct threat against his privacy. To protect the privacy of users, a sanitization process, which adds uncertainty to the data and removes some sensible information, can be performed but at the cost of a decrease of utility(More)
Despite the commercial success of Location-Based Services (LBS), the sensitivity of the data they manage, specially those concerning the user's location, makes them a suitable target for geo-location inference attacks. These attacks are a new variant of traditional inference attacks aiming at disclosing personal aspects of users' life from their(More)
GEPETO (for GEoPrivacy-Enhancing Toolkit) is a flexible software that can be used to visualize, sanitize, perform inference attacks and measure the utility of a particular geolocated dataset. The main objective of GEPETO is to enable a data curator (e.g., a company, a governmental agency or a data protection authority) to design, tune, experiment and(More)
To improve the transport efficiency and to reduce the traveller stress, we introduce a recommender system for bush taxis in Ivory Coast whose main objective is to propose to pedestrians potential means of transportation in their neighborhood whose destination match their own destination. The prediction of the next location relies on a mobility model called(More)
Clustering is an unsupervised learning technique used to group a set of elements into nonoverlapping clusters based on some predefined dissimilarity function. In our context, we rely on clustering algorithms to extract points of interest in human mobility as an inference attack for quantifying the impact of the privacy breach. Thus, we focus on the input(More)
Dynamic adaptation is a central need in Ubiquitous computing. In<lb>this kind of system, it is frequent to see the appearance of interference, when<lb>there are several adaptations to be applied on the application. In this paper, we<lb>present an automatic mechanism for dynamic interference resolving. Applica-<lb>tions and adaptations will be represented by(More)