"Estimating g-Leakage via Machine Learning."

Marco Romanelli et al. (2020)

> Home

Details and statistics

DOI: 10.1145/3372297.3423363

access: closed

type: Conference or Workshop Paper

metadata version: 2025-01-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/ccs/0002CPP20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ccs/0002CPP20
Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi, Pablo Piantanida:
Estimating g-Leakage via Machine Learning. CCS 2020: 697-716

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.