Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/1E9F5FDC-3965-49D4-8CCD-18E7961AFF6F | ||
| Year | 2018 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Vassilis V. Digalakis Jr., "Data analytics with differential privacy", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2018 https://doi.org/10.26233/heallink.tuc.78371 | ||
| Appears in Collections |
Differential privacy is the state-of-the-art definition for privacy, that “addresses the paradox of learning nothing about an individual while learning useful information about a population”. In other words, differential privacy guarantees that any analysis performed on a sensitive dataset leaks no information about the individuals whose data are contained therein. In this thesis, we develop differentially private algorithms to analyze distributed and streaming data.
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