Treffer: On String and Graph Sanitization

Title:
On String and Graph Sanitization
Contributors:
Giulia Bernardini and Huiping Chen and Grigorios Loukides and Solon P. Pissis
Source:
Bernardini, G, Chen, H, Loukides, G & Pissis, S P 2025, 'On String and Graph Sanitization', OpenAccess Series in Informatics, vol. 132, pp. 9:1-9:10. https://doi.org/10.4230/OASIcs.Grossi.9
Publisher Information:
Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2025.
Publication Year:
2025
Document Type:
Konferenz Conference object<br />Article
File Description:
application/pdf
Language:
English
DOI:
10.4230/oasics.grossi.9
Rights:
CC BY
Accession Number:
edsair.dedup.wf.002..23250c0713c0b281c37b60f6aaef1dfb
Database:
OpenAIRE

Weitere Informationen

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.