"LoDen: Making Every Client in Federated Learning a Defender Against the ..."

Mengyao Ma et al. (2023)

> Home

Details and statistics

DOI: 10.1145/3579856.3590334

access: closed

type: Conference or Workshop Paper

metadata version: 2023-07-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/asiaccs/MaZCZCB23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/asiaccs/MaZCZCB23
Mengyao Ma, Yanjun Zhang, Mahawaga Arachchige Pathum Chamikara, Leo Yu Zhang, Mohan Baruwal Chhetri, Guangdong Bai:
LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks. AsiaCCS 2023: 122-135

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.