Learn how to stop credential stuffing attacks with advanced detection and protection strategies for Enterprise SSO and CIAM solutions.

Abstract: Network anomaly detection is a critical task for maintaining network stability and security. However, existing models often focus solely on achieving high predictive performance, falling ...

The South Atlantic Anomaly, a huge weak spot in the geomagnetic field off South America, has expanded and sprouted a lobe in the direction of Africa over the past decade. When you purchase through ...

Introduction: Recent advances in artificial intelligence have created opportunities for medical anomaly detection through multimodal learning frameworks. However, traditional systems struggle to ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Abstract: The internet-of-things device is constantly changing and so is the nature of cyber-attacks. Therefore, the security of the infrastructure of a network is a severe issue affecting ...

This repository FERD contains the implementation of the algorithm described in the paper "Feature Enhancement with Reverse Distillation for Hyperspectral Anomaly Detection".

Anomaly detection is a typical binary classification problem under the condition of unbalanced samples, which has been widely used in various fields of data mining. For example, it can help detect ...