A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying ...

Google's Threat Intelligence Group warns of COLDRIVER, a Russia-based hacking group, employing new LOSTKEYS malware ... targets to extract valuable data without drawing attention.

Machine learning has revolutionized fraud detection by offering dynamic, data-driven approaches that surpass traditional rule-based systems. With its ability to process vast datasets ... fraud with 94 ...

Abstract: The adversarial example presents new security threats to trustworthy detection ... learning (RL) framework, dubbed GAME-RL, which simultaneously optimizes both the perturbing APIs and their ...

A clear understanding of data flow is key to managing data in a way that supports your business goals. The key components of data flow are: A common way to visualize data flow is through data flow ...

This repository contains materials for a hands-on training on phishing detection using machine learning and explainable AI ... phishing-detection-hands-on/ ├── data/ # Input dataset (phishing.csv) ├── ...

You can quickly look up and play around with the different Coroutine and Flow ... using retrofit/okhttp together with a MockNetworkInterceptor. This lets you define how the API should behave.