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Found 2 papers, 1 papers with code
Multi-metrics adaptively identifies backdoors in Federated learning
To evaluate the effectiveness of our approach, we conduct comprehensive experiments on different datasets under various attack settings, where our method achieves the best defensive performance.
Try to Avoid Attacks: A Federated Data Sanitization Defense for Healthcare IoMT Systems
This paper introduces a Federated Data Sanitization Defense, a novel approach to protect the system from data poisoning attacks.
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