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We consider vertical logistic regression (VLR) trained with mini-batch gradient descent — a setting which has attracted growing interest among industries and proven to be useful in a wide range…
Federated Learning (FL), a distributed machine learning paradigm, has been adapted to mitigate privacy concerns for customers. Despite their appeal, there are various inference attacks that can exploit shared-plaintext model…
Federated Learning (FL), a distributed machine learning paradigm, has been adapted to mitigate privacy concerns for customers. Despite their appeal, there are various inference attacks that can exploit shared-plaintext model…
We consider vertical logistic regression (VLR) trained with mini-batch gradient descent — a setting which has attracted growing interest among industries and proven to be useful in a wide range…
We consider vertical logistic regression (VLR) trained with mini-batch gradient descent — a setting which has attracted growing interest among industries and proven to be useful in a wide range…
In this paper, we proposed XG-BoT, an explainable deep graph neural network model for botnet node detection. The proposed model is mainly composed of a botnet detector and an explainer…
In this paper, we proposed XG-BoT, an explainable deep graph neural network model for botnet node detection. The proposed model is mainly composed of a botnet detector and an explainer…
The proposed smart contract can prevent seven cyber attacks, such as Denial of Service (DoS), Man in the Middle Attack (MITM), Distributed Denial of Service (DDoS), 51%, Injection attacks, Routing…
In this paper, we proposed XG-BoT, an explainable deep graph neural network model for botnet node detection. The proposed model is mainly composed of a botnet detector and an explainer…
The proposed smart contract can prevent seven cyber attacks, such as Denial of Service (DoS), Man in the Middle Attack (MITM), Distributed Denial of Service (DDoS), 51%, Injection attacks, Routing…