AEV automates continuous attack simulations for organizations, helping prioritize exploitable risks and improve cyber ...

Sentiment Analysis with BER Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and ...

Therefore, anomaly detection methods are investigated. In this work we employ adversarial autoencoders trained to classify spectra from radioactive sources as either background or anomalous. This ...

The autoencoder provides an anomaly detection algorithm for radiation treatment planning. It can detect a very small percentage of abnormal plans in a large number of radiotherapy plans with high ...

Anomaly detection is performed on three test data sets using our proposed model with optimal ... does not detect anomalies very well, because the autoencoder trained with appropriate loss functions in ...

The Overall Program Structure The overall structure of the PyTorch autoencoder anomaly detection demo program, with a few minor edits to save space, is shown in Listing 3. I prefer to indent my Python ...

The overall structure of the PyTorch autoencoder anomaly detection demo program, with a few minor edits to save space, is shown in Listing 3. I prefer to indent my Python programs using two spaces ...