Processing text for privacy: an information flow perspective

DOI10.1007/978-3-319-95582-7_1zbMath1460.68034OpenAlexW2819979298MaRDI QIDQ2024330

Natasha Fernandes, Mark Dras, Annabelle McIver

Publication date: 4 May 2021

Full work available at URL: https://doi.org/10.1007/978-3-319-95582-7_1

zbMATH Keywords

privacyrefinementinformation flowtext processingprobabilistic semanticsauthor anonymityauthor obfuscation

Mathematics Subject Classification ID

Computing methodologies for text processing; mathematical typography (68U15) Privacy of data (68P27)

Related Items (1)

Locality sensitive hashing with extended differential privacy

Cites Work

• The Algorithmic Foundations of Differential Privacy
• Compositional Closure for Bayes Risk in Probabilistic Noninterference
• k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
• Inference in an Authorship Problem
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