Exploració per autor "Rebollo Monedero, David"
Ara es mostren els items 16-35 de 45
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From t-closeness-like privacy to postrandomization via information theory
Rebollo Monedero, David; Forné Muñoz, Jorge; Domingo Ferrer, Josep (2010)
Article
Accés restringit per política de l'editorialt-Closeness is a privacy model recently defined for data anonymization. A data set is said to satisfy t-closeness if, for each group of records sharing a combination of key attributes, the distance between the distribution ... -
From t-closeness-like privacy to postrandomization via information theory
Rebollo Monedero, David; Forné Muñoz, Jorge; Domingo Ferrer, Josep (2009-10-08)
Article
Accés obertt-Closeness is a privacy model recently defined for data anonymization. A data set is said to satisfy t-closeness if, for each group of records sharing a combination of key attributes, the distance between the distribution ... -
Hierarchical categorisation of tags for delicious
Parra Arnau, Javier; Perego, Andrea; Ferrari, Elena; Forné Muñoz, Jorge; Rebollo Monedero, David (2012)
Altres
Accés obertIn the scenario of social bookmarking, a user browsing the Web bookmarks web pages and assigns free-text labels (i.e., tags) to them according to their personal preferences. In this technical report, we approach one of ... -
Hierarchical categorisation of web tags for Delicious
Parra Arnau, Javier; Perego, Andrea; Ferrari, Elena; Forné Muñoz, Jorge; Rebollo Monedero, David (2011-11-11)
Report de recerca
Accés obertIn the scenario of social bookmarking, a user browsing the Web bookmarks web pages and assigns free-text labels (i.e., tags) to them according to their personal preferences. The benefits of social tagging are clear – tags ... -
How do we measure privacy?
Rebollo Monedero, David; Forné Muñoz, Jorge (2010)
Article
Accés obertWe survey the state of the art of privacy in perturbative methods for statistical disclosure control. While the focus is on data microaggregation, these methods also address a wide variety of alternative applications such ... -
Incremental k-Anonymous microaggregation in large-scale electronic surveys with optimized scheduling
Rebollo Monedero, David; Forné Muñoz, Jorge; Soriano Ibáñez, Miguel; Hernández Baigorri, César (Institute of Electrical and Electronics Engineers (IEEE), 2018-10-15)
Article
Accés obertImprovements in technology have led to enormous volumes of detailed personal information made available for any number of statistical studies. This has stimulated the need for anonymization techniques striving to attain a ... -
INRISCO: INcident monitoRing in Smart COmmunities
Aguilar Igartua, Mónica; Almenares Mendoza, Florina; Díaz Redondo, Rebeca Pilar; Martín Vicente, Manuela Isabel; Forné Muñoz, Jorge; Campo Vazquez, Celeste; Fernández Vilas, Ana; Cruz Llopis, Luis Javier de la; García Rubio, Carlos; Marín López, Andres; Mohamad Mezher, Ahmad; Díaz Sánchez, Daniel; Cerezo Costas, Héctor; Rebollo Monedero, David; Arias Cabarcos, Patricia; Rico Novella, Francisco José (Institute of Electrical and Electronics Engineers (IEEE), 2020-01-01)
Article
Accés obertMajor advances in information and communication technologies (ICTs) make citizens to be considered as sensors in motion. Carrying their mobile devices, moving in their connected vehicles or actively participating in social ... -
k-anonymous microaggregation with preservation of statistical dependence
Rebollo Monedero, David; Forné Muñoz, Jorge; Soriano Ibáñez, Miguel (2016-05-10)
Article
Accés obert𝑘�������-Anonymous microaggregation emerges as an essential building block in statistical disclosure control, a field concerning the postprocessing of the demographic portion of surveys containing sensitive information, ... -
Measuring the privacy of user profiles in personalized information systems
Parra Arnau, Javier; Rebollo Monedero, David; Forné Muñoz, Jorge (Elsevier, 2014-04-01)
Article
Accés restringit per política de l'editorialPersonalized information systems are information-filtering systems that endeavor to tailor information-exchange functionality to the specific interests of their users. The ability of these systems to profile users is, on ... -
Medición de la privacidad de perfiles de usuario mediante un add-on de navegador
Estrada, Jose; Rodríguez, Ana; Parra Arnau, Javier; Forné Muñoz, Jorge; Rebollo Monedero, David (2013)
Comunicació de congrés
Accés restringit per política de l'editorialActualmente, la monitorización de los usuarios en Internet es permanente, y la información obtenida en este proceso es de enorme interés para grandes compañías de publicidad e incluso gobiernos. Además, la gran cantidad ... -
On content-based recommendation and user privacy in social-tagging systems
Puglisi, Silvia; Parra-Arnau, Javier; Forné Muñoz, Jorge; Rebollo Monedero, David (Elsevier, 2015-09-01)
Article
Accés obertRecommendation systems and content filtering approaches based on annotations and ratings, essentially rely on users expressing their preferences and interests through their actions, in order to provide personalised content. ... -
On the anonymity risk of time-varying user profiles.
Puglisi, Silvia; Rebollo Monedero, David; Forné Muñoz, Jorge (2017-04-26)
Article
Accés obertWebsites and applications use personalisation services to profile their users, collect their patterns and activities and eventually use this data to provide tailored suggestions. User preferences and social interactions ... -
On the measurement of privacy as an attacker's estimation error
Rebollo Monedero, David; Parra Arnau, Javier; Diaz, Claudia; Forné Muñoz, Jorge (2012)
Article
Accés obertA wide variety of privacy metrics have been proposed in the literature to evaluate the level of protection offered by privacy enhancing-technologies. Most of these metrics are specific to concrete systems and adversarial ... -
On web user tracking of browsing patterns for personalised advertising
Puglisi, Silvia; Rebollo Monedero, David; Forné Muñoz, Jorge (2017-02-19)
Article
Accés obertOn today’s Web, users trade access to their private data for content and services. App and service providers want to know everything they can about their users, in order to improve their product experience. Also, advertising ... -
On Web user tracking: how third-party http requests track users' browsing patterns for personalised advertising
Puglisi, Silvia; Rebollo Monedero, David; Forné Muñoz, Jorge (2016)
Text en actes de congrés
Accés obertOn today's Web, users trade access to their private data for content and services. Advertising sustains the business model of many websites and applications. Efficient and successful advertising relies on predicting ... -
Optimal forgery and suppression of ratings for privacy enhancement in recommendation systems
Parra-Arnau, Javier; Rebollo Monedero, David; Forné Muñoz, Jorge (2014-03)
Article
Accés obertRecommendation systems are information-filtering systems that tailor information to users on the basis of knowledge about their preferences. The ability of these systems to profile users is what enables such intelligent ... -
Optimized query forgery for private information retrieval
Rebollo Monedero, David; Forné Muñoz, Jorge (2010-09)
Article
Accés obertWe present a mathematical formulation for the optimization of query forgery for private information retrieval, in the sense that the privacy risk is minimized for a given traffic and processing overhead. The privacy ... -
Optimizing the design parameters of threshold pool mixes for anonymity and delay
Rebollo Monedero, David; Parra Arnau, Javier; Forné Muñoz, Jorge; Díaz Martínez, María Claudia (2014-07-04)
Article
Accés restringit per política de l'editorialThe provision of content confidentiality via message encryption is by no means sufficient when facing the significant privacy risks present in online communications. Indeed, the privacy literature abounds with examples of ... -
p-probabilistic k-anonymous microaggregation for the anonymization of surveys with uncertain participation
Rebollo Monedero, David; Forné Muñoz, Jorge; Soriano Ibáñez, Miguel; Puiggalí Allepuz, Jordi (2016-12-13)
Article
Accés obertWe develop a probabilistic variant of k-anonymous microaggregation which we term p-probabilistic resorting to a statistical model of respondent participation in order to aggregate quasi-identifiers in such a manner that ... -
Potential mass surveillance and privacy violations in proximity-based social applications
Puglisi, Silvia; Rebollo Monedero, David; Forné Muñoz, Jorge (IEEE Press, 2016)
Comunicació de congrés
Accés obertProximity-based social applications let users interact with people that are currently close to them, by revealing some information about their preferences and whereabouts. This information is acquired through passive ...