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A Survey on Interdependent Privacy

Publications associées (49)

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The upsurge in the number of web users over the last two decades has resulted in a significant growth of online information. Recommenders are machine learning approach and are becoming one of the main ways to navigate the Internet. They recommend appropria ...

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Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning

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Privacy policies are the primary channel through which companies inform users about their data collection and sharing practices. These policies are often long and difficult to comprehend. Short notices based on information extracted from privacy policies h ...

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We live in the "inverse-privacy" world, where service providers derive insights from users' data that the users do not even know about. This has been fueled by the advancements in machine learning technologies, which allowed providers to go beyond the supe ...

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Practical Private Range Search Revisited

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Data-Driven Privacy Indicators

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Third party applications work on top of existing platforms that host users’ data. Although these apps access this data to provide users with specific services, they can also use it for monetization or profiling purposes. In practice, there is a significant ...

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The Curious Case of the PDF Converter that Likes Mozart: Dissecting and Mitigating the Privacy Risk of Personal Cloud Apps

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Third party apps that work on top of personal cloud services such as Google Drive and Dropbox, require access to the user’s data in order to provide some functionality. Through detailed analysis of a hundred popular Google Drive apps from Google’s Chrome s ...

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Producer cooperatives influence on competitive dynamics - the Azorean case

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The aim of this paper is twofold: first, it aims at investigating how cooperatives organizational dimensions affect its strategic positioning; and second, how producer cooperatives influence the competitive dynamics of the markets where they compete. In or ...

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A Cloud-Based eHealth Architecture for Privacy Preserving Data Integration

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Personal Learning with Social Media

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Social media platforms are increasingly used in recent years to support learning activities, especially for the construction of activity- and learner-centric personal learning environments (PLEs). This thesis investigates the solutions to four essential de ...

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This survey is an integrated view of other surveys on privacy preserving for data integration. First, we review the database context and challenges and research questions. Second, we formulate the privacy problems for schema matching and data matching. Nex ...

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