Jul 2, 2023 · In this work, we propose FedDefender, a defense mechanism against targeted poisoning attacks in FL by leveraging differential testing.
Dec 4, 2023 · FedDefender: Client-Side Attack-Tolerant Federated Learning · FederatedReverse: A Detection and Defense Method Against Backdoor Attacks in ...
Backdoor Attack and Defense. Backdoor attacks in the context of computer vision refer to a specific type of malicious behavior in which an attacker injects a “ ...
... Federated Learning from the poisoning attacks (i.e., backdoor attacks) ... FedDefender: Backdoor Attack Defense in Federated Learning (Tutorial). This ...
Feb 23, 2024 · Backdoor Attack and Defense. Backdoor attacks in the context of computer vision refer to a specific type of malicious behavior in which an ...
FedDefender: Backdoor Attack Defense in Federated Learning
par.nsf.gov › biblio › 10528464-feddefe...
Dec 4, 2023 · Federated learning (FL) is known to be susceptible to model poisoning attacks in which malicious clients hamper the accuracy of the global model ...
Sep 4, 2024 · PreprintPDF Available. FedDefender: Backdoor Attack Defense in Federated Learning ... wards a defense against backdoor attacks in continual ...
A Federated Learning Backdoor Attack Defense. August 2022. Jin Yan ; Defense Against Reconstruction Attacks in Split Federated Learning Through Decreasing ...
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Dec 17, 2023 · In this work, we propose FedDefender, a defense mechanism against targeted poisoning attacks in FL by leveraging differential testing.
Aug 4, 2023 · FedDefender: Client-Side Attack-Tolerant Federated Learning. Authors ... Contra: Defending against poisoning attacks in federated learning.