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Results 1 - 10
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140
Privacy enhanced recommender system
- In Thirty-first Symposium on Information Theory in the Benelux
, 2010
"... Recommender systems are widely used in online applications since they enable personalized service to the users. The underlying collaborative filtering techniques work on user’s data which are mostly privacy sensitive and can be misused by the service provider. To protect the privacy of the users, we ..."
Abstract
-
Cited by 4 (4 self)
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Recommender systems are widely used in online applications since they enable personalized service to the users. The underlying collaborative filtering techniques work on user’s data which are mostly privacy sensitive and can be misused by the service provider. To protect the privacy of the users
pTwitterRec: a privacy-preserving personalized tweet recommendation framework
- In Proceedings of the 9th ACM symposium on Information, computer and communications security (ASIA CCS '14). ACM
, 2014
"... ABSTRACT Twitter is one of the most popular Online Social Networks (OSNs) nowadays. Twitter users retrieve information from other users by subscribing to their tweets. Twitter users, especially those who have many followees, may receive hundreds or even thousands of tweets daily. Currently, all twe ..."
Abstract
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Cited by 1 (0 self)
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are getting increasingly concerned about their online privacy. Researchers in the security community have proposed using techniques such as encrypted tweets to protect users' privacy. In this paper, we propose a privacy-preserving personalized tweet recommendation framework, pTwitterRec, in a Twitter
Privacy-Preserving Content-Based Recommender System
"... By offering personalized content to users, recommender systems have become a vital tool in e-commerce and online media applications. Content-based algorithms recommend items or products to users, that are most similar to those previously purchased or consumed. Unfortunately, collecting and storing r ..."
Abstract
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ratings, on which content-based methods rely, also poses a serious privacy risk for the customers: ratings may be very personal or revealing, and thus highly privacy sensitive. Service providers could process the collected rating data for other purposes, sell them to third parties or fail to provide
Encrypted Signal Processing for Privacy Protection
"... [ Conveying the utility of homomorphic encryption and multiparty computation] In recent years, signal processing applications that deal with user-related data have aroused privacy concerns. For instance, face recognition and personalized recommendations rely on privacy-sensitive information that can ..."
Abstract
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[ Conveying the utility of homomorphic encryption and multiparty computation] In recent years, signal processing applications that deal with user-related data have aroused privacy concerns. For instance, face recognition and personalized recommendations rely on privacy-sensitive information
Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism
"... invasive contextual suggestion system for tourists, with impor-tant architectural innovations. The system offers high quality personalized recommendations, non-invasive operation and protection of user privacy. A key feature of Pythia is the exploitation of the vast amounts of personal data generate ..."
Abstract
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invasive contextual suggestion system for tourists, with impor-tant architectural innovations. The system offers high quality personalized recommendations, non-invasive operation and protection of user privacy. A key feature of Pythia is the exploitation of the vast amounts of personal data
The Human Rights: The Legal Protection of Personal Data
, 2015
"... This paper handles a fundamental human right, with a development dynamic that made it increasingly important in the life of every individual in a society. Considering all the issues in the implementation of personal data protection standards in our country, it is aimed to analyze one of the broadest ..."
Abstract
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This paper handles a fundamental human right, with a development dynamic that made it increasingly important in the life of every individual in a society. Considering all the issues in the implementation of personal data protection standards in our country, it is aimed to analyze one
Privacy-preserving Anonymization of Set-valued Data
, 2008
"... In this paper we study the problem of protecting privacy in the publication of set-valued data. Consider a collection of transactional data that contains detailed information about items bought together by individuals. Even after removing all personal characteristics of the buyer, which can serve as ..."
Abstract
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Cited by 51 (6 self)
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In this paper we study the problem of protecting privacy in the publication of set-valued data. Consider a collection of transactional data that contains detailed information about items bought together by individuals. Even after removing all personal characteristics of the buyer, which can serve
PriView: Media Consumption and Recommendation Meet Privacy Against Inference Attacks
"... Abstract—We propose PriView, an interactive privacy-preserving personalized video consumption system, that protects a user’s privacy while delivering relevant content recommendations to the user. PriView provides the user with three functionalities: transparency on privacy risk, control of privacy r ..."
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Abstract—We propose PriView, an interactive privacy-preserving personalized video consumption system, that protects a user’s privacy while delivering relevant content recommendations to the user. PriView provides the user with three functionalities: transparency on privacy risk, control of privacy
Efficiently computing private recommendations
- in Proc. Int. Conf. Acoust. Speech Signal Processing
"... Online recommender systems enable personalized service to users. The underlying collaborative filtering techniques operate on privacy sensitive user data, which could be misused by the service provider. To protect user privacy, we propose to encrypt the data and generate recommendations by processin ..."
Abstract
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Cited by 15 (5 self)
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Online recommender systems enable personalized service to users. The underlying collaborative filtering techniques operate on privacy sensitive user data, which could be misused by the service provider. To protect user privacy, we propose to encrypt the data and generate recommendations
A New Conceptual Framework within Information Privacy: Meta Privacy
"... Abstract. When considering information security and privacy issues most of the attention has previously focussed on data protection and the privacy of personally identifiable information (PII). What is often overlooked is consideration for the operational and transactional data. Specifically, the se ..."
Abstract
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Cited by 2 (1 self)
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, the security and privacy protection of metadata and metastructure information of computing environments has not been factored in to most methods. Metadata, or data about data, can contain many personal details about an entity. It is subject to the same risks and malicious actions personal data is exposed to
Results 1 - 10
of
140
