Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

Abstract: In recent years, neural network models have been widely used in many tasks, however, tampering operations from malicious attackers, e.g., backdoor attacks and parameter malicious tampering, ...

The chapter provides a comparison between the performances of each neural network model built. It describes which steps should be made to deploy one or more of the produced models in a real network ...

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This repository curated list of awesome Causality-Inspired Graph Neural Network (CIGNN) works and relevant resources reviewed in our survey 'When Graph Neural Network Meets Causality: Opportunities, ...

Finland Research Unit of Disease Networks, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland Biocenter Oulu, University of Oulu, Aapistie 5 A, 90220 ...

Given a family of ResNets, we can construct a Pareto frontier of the tradeoff between accuracy and number of parameters: Han et al. posit that we can beat this Pareto frontier by leaving network ...

In the command, change "ADAPTER-INDEX" with the number of the network adapter you identified in step 4, and change "X.X.X.X" with the IP addresses you want to use. For example: ...