FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks-Reference-Cited by-同舟云学术

FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:Annual Computer Security Applications Conference
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Author:

Castillo Jorge¹^ORCID,Rieger Phillip²^ORCID,Fereidooni Hossein³^ORCID,Chen Qian⁴^ORCID,Sadeghi Ahmad²^ORCID

Affiliation:

1. The University of Texas Rio Grande Valley, USA

2. Technical University of Darmstadt, Germany

3. KOBIL GmbH, Germany

4. The University of Texas at San Antonio, USA

Funder

National Nuclear Security Administration

European Union Agency for Cybersecurity

Department of Energy

Publisher

ACM

Reference70 articles.

1. A Survey on Homomorphic Encryption Schemes

2. Achieving Secure and Differentially Private Computations in Multiparty Settings

3. Sebastien Andreina Giorgia Azzurra Marson Helen Möllering and Ghassan Karame. 2021. BaFFLe: Backdoor Detection via Feedback-based Federated Learning. In ICDCS. Sebastien Andreina Giorgia Azzurra Marson Helen Möllering and Ghassan Karame. 2021. BaFFLe: Backdoor Detection via Feedback-based Federated Learning. In ICDCS.

4. Hyperledger fabric

5. Eugene Bagdasaryan Andreas Veit Yiqing Hua Deborah Estrin and Vitaly Shmatikov. 2020. How to backdoor federated learning. In AISTATS. PMLR. Eugene Bagdasaryan Andreas Veit Yiqing Hua Deborah Estrin and Vitaly Shmatikov. 2020. How to backdoor federated learning. In AISTATS. PMLR.

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