InfoQ

Fraud Detection Using Random Forest, Neural Autoencoder, and Isolation Forest Techniques

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
GitHub

splunk_dsdl_tutorial_autoencoder.ipynb

"This notebook is based on the **autoencoder** notebook of the standard DSDL containers, and has been modified for educational purposes.\n", "The original code can be ...
GitHub

This repository contains two Jupyter notebooks that provide comprehensive tutorials on implementing an Autoencoder and a Variational Autoencoder using the MNIST dataset.

Autoencoder (AE) Tutorial: This notebook guides you through the basics of building and training an Autoencoder, demonstrating how to use it for data compression and reconstruction with the MNIST ...
IEEE

DAAED: A Deep Autoencoder based Adversarial Example Detection Technique

Abstract: Deep Learning based intrusion detection systems are susceptible to adversarial examples which are maliciously perturbed data samples that can cause a trained intrusion detection system to ...