LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks

Ma, Mengyao; Zhang, Yanjun; Arachchige, Pathum Chamikara Mahawaga; Zhang, Leo Yu; Chhetri, Mohan Baruwal; Bai, Guangdong

LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks

conference contribution

posted on 2024-06-02, 23:00 authored by Mengyao Ma, Yanjun Zhang, Pathum Chamikara Mahawaga Arachchige, Leo Yu Zhang, Mohan Baruwal Chhetri, Guangdong Bai

LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks

History

Pagination

122-135

Location

Melbourne, Vic.

Publisher DOI

https://doi.org/10.1145/3579856.3590334

Start date

2023-07-10

End date

2023-07-14

ISBN-13

979-8-4007-0098-9

Language

English

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

ASIA CCS '23 : Proceedings of the ACM Asia Conference on Computer and Communications Security

Event

ACM ASIA Conference on Computer and Communications Security. (2023 : Melbourne, Vic.)

Publisher

ACM

Place of publication

New York, N.Y.

Publication URL

http://dx.doi.org/10.1145/3579856.3590334

Usage metrics

Keywords

federated learning membership inference attack privacy leakage

LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks

History

Pagination

Location

Publisher DOI

Start date

End date

ISBN-13

Language

Publication classification

Title of proceedings

Event

Publisher

Place of publication

Publication URL

Usage metrics

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Keywords

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