"G-PATE: Scalable Differentially Private Data Generator via Private ..."

Yunhui Long et al. (2021)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2022-05-03

- view
  - electronic edition @ neurips.cc (open access)
- export record
  dblp key:
  - conf/nips/LongWYKZGL21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/LongWYKZGL21
Yunhui Long, Boxin Wang, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li:
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators. NeurIPS 2021: 2965-2977

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.