IEEE

Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks

Abstract: The rise in deep neural networks (DNNs) has led to increased interest in explaining their predictions. While many methods for this exist, there is currently no consensus on how to evaluate ...
GitHub

eBPF Developer Tutorial: Learning eBPF Step by Step with Examples

This is a development tutorial for eBPF based on CO-RE (Compile Once, Run Everywhere). It provides practical eBPF development practices from beginner to advanced, including basic concepts, code ...
IEEE

Physical Layer Security for Authentication, Confidentiality, and Malicious Node Detection: A Paradigm Shift in Securing IoT Networks

Abstract: The pervasiveness of commercial Internet of Things (IoT) around the globe is expected to reach significant levels with the upcoming sixth generation of mobile networks (6G). Throughout the ...
GitHub

dbt dimensional modelling tutorial

Dimensional modelling is one of many data modelling techniques that are used by data practitioners to organize and present data for analytics. Other data modelling techniques include Data Vault (DV), ...