"Privacy with Good Taste - A Case Study in Quantifying Privacy Risks in ..."

Raúl Pardo et al. (2022)

> Home

Details and statistics

DOI: 10.1007/978-3-031-25734-6_7

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/esorics/PardoRSLLPZW22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/esorics/PardoRSLLPZW22
Raúl Pardo, Willard Rafnsson, Gregor Steinhorn, Denis Lavrov, Thomas Lumley, Christian W. Probst, Ilze Ziedins, Andrzej Wasowski:
Privacy with Good Taste - A Case Study in Quantifying Privacy Risks in Genetic Scores. DPM/CBT@ESORICS 2022: 103-119

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.