Jun 24, 2022 · Backdoor Attacks and Defenses in Federated Learning: State-of-the-Art, Taxonomy, and Future Directions. Abstract: The federated learning ...

Mar 3, 2023 · In this survey, we provide a comprehen- sive survey of current backdoor attack strategies and defenses in FL, including a comprehensive analysis ...

To achieve this, a new taxonomy of FL backdoor attacks and defenses is provided, as well as a discussion of future research directions from a multi-perspective ...

In this work, we present a comprehensive review of the state-of-the-art backdoor attacks and defenses in federated learning. We classify the existing backdoor ...

Apr 1, 2023 · We give a detailed comparison of both attacks and defenses through experiments. Lastly, we pinpoint a variety of potential future directions of ...

This survey provides a comprehensive survey of current backdoor attack strategies and defenses in FL, including a comprehensive analysis of different ...

Backdoor learning is an emerging research area, which discusses the security issues of the training process towards machine learning algorithms.

This study provides a comprehensive overview of the most recent advancements in both backdoor attacks and defenses within the FL context, and divides the ...

Nov 24, 2023 · This paper introduces a novel technique to allow backdoor attacks to be client-targeted, compromising a single client while the rest remain ...

Backdoor attacks and defenses in federated learning: State-of-the-art, taxonomy, and future directions ... Taxonomy, state-of-the-art, and future directions. Y ...