FLMAAcBD: Defending against backdoors in Federated Learning via Model Anomalous Activation Behavior Detection

Author:

Cai HongyunORCID,Wang JiahaoORCID,Gao Lijing,Li Fengyu

Funder

Hebei Province Department of Education

Hebei University

Publisher

Elsevier BV

Reference41 articles.

1. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

2. Targeted backdoor attacks on deep learning systems using data poisoning;Chen,2017

3. Badnets: Identifying vulnerabilities in the machine learning model supply chain;Gu,2017

4. CASSOCK: Viable backdoor attacks against DNN in the wall of source-specific backdoor defenses;Wang,2023

5. Analyzing federated learning through an adversarial lens;Bhagoji,2019

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