"Evaluating Gradient Inversion Attacks and Defenses in Federated Learning."

Yangsibo Huang et al. (2021)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-08-15

- view
  - electronic edition @ neurips.cc (open access)
- export record
  dblp key:
  - conf/nips/HuangGSLA21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/nips/HuangGSLA21
Yangsibo Huang, Samyak Gupta, Zhao Song, Kai Li, Sanjeev Arora:
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning. NeurIPS 2021: 7232-7241

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.