| Title: |
“Dead or Alive, we can deny it”. A Differentially Private Approach to Survival Analysis |
| Authors: |
De Faveri F. L.; Faggioli G.; Ferro N.; Spizzo R. |
| Contributors: |
De Faveri, F. L.; Faggioli, G.; Ferro, N.; Spizzo, R. |
| Publisher Information: |
CEUR-WS |
| Publication Year: |
2024 |
| Collection: |
Padua Research Archive (IRIS - Università degli Studi di Padova) |
| Subject Terms: |
Differential Privacy; Information Security; Privacy-Preserving Mechanism; Survival Analysis |
| Description: |
Survival Analyses (SAs), a key statistical tool used to predict event occurrence over time, often involve sensitive information, necessitating robust privacy safeguards. This work demonstrates how the Revised Randomized Response (RRR) can be adapted to ensure Differential Privacy (DP) while performing SAs. This methodology seeks to safeguard the privacy of individuals' data without significantly changing the utility, represented by the statistical properties of the survival rates computed. Our findings show that integrating DP through RRR into SAs is both practical and effective, providing a significant step forward in the privacy-preserving analysis of sensitive time-to-event data. This study contributes to the field by offering a new comparison method to the current state-of-the-art used for SAs in medical research. |
| Document Type: |
conference object |
| Language: |
English |
| Relation: |
ispartofbook:CEUR Workshop Proceedings; 32nd Italian Symposium on Advanced Database Systems, SEBD 2024; volume:3741; firstpage:401; lastpage:411; numberofpages:11; serie:CEUR WORKSHOP PROCEEDINGS; https://hdl.handle.net/11577/3524164 |
| Availability: |
https://hdl.handle.net/11577/3524164 |
| Accession Number: |
edsbas.F689E593 |
| Database: |
BASE |