Finally, we generalize our analysis of this adversary and path compromise attacks to propose countermeasure strategies and challenges. iii To the adversary, whether he be globally passive, locally active, or a Byzantine participant. iv AcknowledgmentsBorisov, Nikita...
网络释义 1. 拜占庭攻击 什么意思... ... Byzantine failure 拜占庭错误Byzantine attacks拜占庭攻击Byzantine text 叙利亚式或拜占庭式 ... dict.youdao.com|基于2个网页
Hence, a crucial objective in FL is to neutralize the potential impact of Byzantine attacks and to ensure that the final model is trustable. It has been observed that the higher the variance among the clients' models/updates, the more space there is for Byzantine attacks to be hidden. As ...
Credibility assessment is designed to detect Byzantine attacks by combing adaptive anomaly detection model and data verification. Specially, an adaptive mechanism is incorporated into the anomaly detection model for the training and prediction of the model. Simultaneously, a unified update algorithm is ...
For FedAVG, such attacks would involve sending malicious weights to the server, for example to disrupt the aggregation step. For FedDistill, byzantine clients can send malicious predictions to the server. Motivation One weakness of Federated Averaging (FedAVG) is its susceptibility to byzantine ...
However, DFL exhibits increased suscep- tibility to Byzantine attacks owing to the lack of a respon- sible central server. Furthermore, a benign client in DFL may be dominated by Byzantine clients (more than half of its neighbors are malicious...
AGR-tailored attacks 与Fang攻击不同,AGR-tailored量身定制攻击使用最优γ和数据集优化p对恶意梯度进行微调 制造恶意的梯度,表示为\nabla^m;一个用于参考的良性聚合,表示为\nabla^b;最终的恶意梯度是良性聚合的一个扰动版本,例如:\nabla^m=\nabla^b+ \gamma \nabla^p;\nabla^p是扰动向量,\gamma是一个比例系...
In Byzantine attacks, compromised sensors send false sensing data to the gateway leading to increased false alarm rate. Static attack and dynamic attack are two possible attack strategies. However due to high computational complexity of the optimal scheme parameters for q-out-of-m rule, this rule...
Extensive experiments also demonstrate that BALANCE outperforms existing DFL methods and effectively defends against poisoning attacks. 核心概述之一,提出了一种新的算法 BALANCE(英文缩写Byzantine-robust averaging through local similarity in decentralization))来防御 DFL 中的投毒攻击,每个客户端利用它自己的本地...
Byzantine attacks are amongst the most common and straightforward attacks on FL. They try to prevent FL models from converging by uploading random updates. Several techniques have been proposed to detect such kind of attacks, but they usually entail a high cost for the server. This hampers one ...