Why AI Threat Models In Finance Must Follow The Data, Not The Code

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...
IEEE

A Global Adversarial and Local Contrastive Transfer Learning Approach for Remaining Useful Life Prediction

Abstract: The transfer learning method can effectively mitigate the reliance on an extensive amount of target-domain data for the construction of remaining useful life (RUL) prediction models. While ...
The Hacker News

⚡ Weekly Recap: MongoDB Attacks, Wallet Breaches, Android Spyware, Insider Crime & More

This weekly recap brings those stories together in one place. No overload, no noise. Read on to see what shaped the threat ...
IEEE

Enhancing Power Grid Reliability With Machine Learning and Auxiliary Classifier Generative Adversarial Networks: A Study on Fault Detection Using the Georgia Electric System ...

Abstract: Power networks are vital to society, yet service outages and faults can have devastating consequences. This study introduces a novel integration of machine learning and data augmentation ...