Data sanitization is a process that conceals sensitive patterns from a given dataset. A secondary goal is to not severely harm the utility of the underlying data along this process. We survey some recent advancements on two related data sanitization topics: string and graph sanitization. In particular, we highlight the important contributions of our friend Prof. Roberto Grossi along this journey.
On String and Graph Sanitization / G. Bernardini, H. Chen, G. Loukides, S.P. Pissis (OPEN ACCESS SERIES IN INFORMATICS). - In: From Strings to Graphs, and Back Again: A Festschrift for Roberto Grossi's 60th Birthday (Grossi's Festschrift) / [a cura di] A. Conte, A. Marino, G. Rosone, J. Scott Vitte. - [s.l] : Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2025. - ISBN 978-3-95977-391-1. - pp. 1-10 (( convegno From Strings to Graphs, and Back Again: A Festschrift for Roberto Grossi's 60th Birthday 2025 tenutosi a Venezia nel 2025 [10.4230/OASIcs.Grossi.9].
On String and Graph Sanitization
G. Bernardini
;
2025
Abstract
Data sanitization is a process that conceals sensitive patterns from a given dataset. A secondary goal is to not severely harm the utility of the underlying data along this process. We survey some recent advancements on two related data sanitization topics: string and graph sanitization. In particular, we highlight the important contributions of our friend Prof. Roberto Grossi along this journey.
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