Privacy in statistical databases is a discipline whose purpose is to provide solutions to the tension between the increasing social, political and economical demand of accurate information, and the legal and ethical obligation to protect the privacy of the various parties involved. Those parties are the respondents (the individuals and enterprises to which the database records refer), the data owners (those organizations spending money in data collection) and the users (the ones querying the database, who would like their queries to stay confidential). Beyond law and ethics, there are also practical reasons for data collecting agencies to invest in respondent privacy: if individual respondents feel their privacy guaranteed, they ar...
Abstract. In many practical situations, it is important to store large amounts of data and to be abl...
Data mining technology that reveals knowledge in large databases could compromise the information th...
The issue of privacy versus data access is at the crossroads where two sets of considerations meet: ...
Data privacy studies methods, tools, and theory to avoid the disclosure of sensitive information. It...
133 pagesWith vast databases at their disposal, private tech companies can compete with public stati...
Prof. Johannes Gehrke, Committee Chair. Prof. Eva Tardos, Committee Member. Prof. Joseph Halpern, ...
Abstract: we study the data mining understand the need for analyses of large, complex, information r...
The purpose of this document is to provide scholars with a comprehensive list of readings relevant t...
The opinions expressed in this talk are the my own and not necessarily those of the U.S. Census Bure...
Abstract. Privacy has become increasingly important to the database commu-nity which is reflected by...
Organizations are increasingly collecting sensitive information about individuals. Extracting value ...
Statistical database security focuses on the protection of confidential individual values stored in ...
Confidentiality and privacy are widely conceived of as ethical matters and they impinge directly upo...
This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a techn...
Data is considered the new oil of the economy, but privacy concerns limit their use, leading to a wi...
Abstract. In many practical situations, it is important to store large amounts of data and to be abl...
Data mining technology that reveals knowledge in large databases could compromise the information th...
The issue of privacy versus data access is at the crossroads where two sets of considerations meet: ...
Data privacy studies methods, tools, and theory to avoid the disclosure of sensitive information. It...
133 pagesWith vast databases at their disposal, private tech companies can compete with public stati...
Prof. Johannes Gehrke, Committee Chair. Prof. Eva Tardos, Committee Member. Prof. Joseph Halpern, ...
Abstract: we study the data mining understand the need for analyses of large, complex, information r...
The purpose of this document is to provide scholars with a comprehensive list of readings relevant t...
The opinions expressed in this talk are the my own and not necessarily those of the U.S. Census Bure...
Abstract. Privacy has become increasingly important to the database commu-nity which is reflected by...
Organizations are increasingly collecting sensitive information about individuals. Extracting value ...
Statistical database security focuses on the protection of confidential individual values stored in ...
Confidentiality and privacy are widely conceived of as ethical matters and they impinge directly upo...
This book offers a broad, cohesive overview of the field of data privacy. It discusses, from a techn...
Data is considered the new oil of the economy, but privacy concerns limit their use, leading to a wi...
Abstract. In many practical situations, it is important to store large amounts of data and to be abl...
Data mining technology that reveals knowledge in large databases could compromise the information th...
The issue of privacy versus data access is at the crossroads where two sets of considerations meet: ...