Results 171 to 180 of about 402,434 (218)
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2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 2010
This tutorial gives an overview of techniques for releasing data about individuals while preserving privacy.
Johannes Gehrke +2 more
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This tutorial gives an overview of techniques for releasing data about individuals while preserving privacy.
Johannes Gehrke +2 more
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Data Mining and Knowledge Discovery, 2005
In this chapter we describe the main tools for privacy in data mining. We present an overview of the tools for protecting data, and then we focus on protection procedures. Information loss and disclosure risk measures are also described.
Josep Domingo-Ferrer, Vicenç Torra
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In this chapter we describe the main tools for privacy in data mining. We present an overview of the tools for protecting data, and then we focus on protection procedures. Information loss and disclosure risk measures are also described.
Josep Domingo-Ferrer, Vicenç Torra
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Mathematical Structures in Computer Science, 2015
Web of Linked Data introduces common format and principles for publishing and linking data on the Web. Such a network of linked data is publicly available and easily consumable. This paper introduces a calculus for modelling networks of linked data with encoded privacy preferences.In that calculus, a network is a parallel composition of users, where ...
Svetlana Jaksic +2 more
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Web of Linked Data introduces common format and principles for publishing and linking data on the Web. Such a network of linked data is publicly available and easily consumable. This paper introduces a calculus for modelling networks of linked data with encoded privacy preferences.In that calculus, a network is a parallel composition of users, where ...
Svetlana Jaksic +2 more
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Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2003
The explosive progress in networking, storage, and processor technologies is resulting in an unprecedented amount of digitization of information. In concert with this dramatic increase in digital data, concerns about the privacy of personal information have emerged globally.
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The explosive progress in networking, storage, and processor technologies is resulting in an unprecedented amount of digitization of information. In concert with this dramatic increase in digital data, concerns about the privacy of personal information have emerged globally.
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2005
In relational database systems a combination of privileges and views is employed to limit a user's access and to hide non-public data. The data privacy problem is to decide whether the views leak information about the underlying database instance. Or, to put it more formally, the question is whether there are certain answers of a database query with ...
Kilian Stoffel, Thomas Studer
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In relational database systems a combination of privileges and views is employed to limit a user's access and to hide non-public data. The data privacy problem is to decide whether the views leak information about the underlying database instance. Or, to put it more formally, the question is whether there are certain answers of a database query with ...
Kilian Stoffel, Thomas Studer
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Big Data Privacy: Changing Perception of Privacy
2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity), 2015In this Big Data era, digital data has been increased exponentially with great variety. While lots of data carrying personal information has been purposely entered online, a large amount of data has been logged from people's online footprints. Big Data analytics has enabled researchers or other stakeholders to dig out data and then turn it into useful ...
Qing Tan, Frédérique C. Pivot
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Protecting Privacy in Data Release [PDF]
, 2011 The evolution of the Information and Communication Technology has radically changed our electronic lives, making information the key driver for today’s society. Every action we perform requires the collection, elaboration, and dissemination of personal information.
S. De Capitani di Vimercati +3 more
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Data Identifiability and Privacy
The American Journal of Bioethics, 2010Dr. Mark Rothstein's (2010) article, “Is Deidentification Sufficient to Protect Health Privacy in Research?” is well timed, published just as the federal Department of Health and Human Services (HH...
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2015 30th Annual ACM/IEEE Symposium on Logic in Computer Science, 2015
Several important application areas in data science involve assigning numbers to (possibly randomized) algorithms. In the case of statistical privacy, it is important to quantify the amount of information leaked by a data processing algorithm. In the case of data marketplaces, it is important to properly set the prices for data queries (which, in ...
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Several important application areas in data science involve assigning numbers to (possibly randomized) algorithms. In the case of statistical privacy, it is important to quantify the amount of information leaked by a data processing algorithm. In the case of data marketplaces, it is important to properly set the prices for data queries (which, in ...
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DATA PRIVACY: DEFINITIONS AND TECHNIQUES
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2012The proper protection of data privacy is a complex task that requires a careful analysis of what actually has to be kept private. Several definitions of privacy have been proposed over the years, from traditional syntactic privacy definitions, which capture the protection degree enjoyed by data respondents with a numerical value, to more recent ...
S. De Capitani di Vimercati +3 more
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