29 citations · 139 across the 31 of their papers we have counts for
Showing 2022 · cs.CRShow all
2 papers · 2 filters
cs.CR2022
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents
Yakini Tchouka, Jean-François Couchot, David Laiymani
Unstructured textual data is at the heart of healthcare systems. For obvious privacy reasons, these documents are not accessible to researchers as long as they contain personally i…
cs.CR2022★ 11 cited
Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python
Héber H. Arcolezi, Jean-François Couchot, Sébastien Gambs +2
This paper introduces the multi-freq-ldpy Python package for multiple frequency estimation under Local Differential Privacy (LDP) guarantees. LDP is a gold standard for achieving l…