A new class of malware that uses AI to commit ad fraud has been discovered, and it can take over your screens without your ...

The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live stream of the virtual screen.

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

AtData, a leading innovator in email address intelligence and digital trust solutions, is introducing Gibberish Detection, a new machine learning-driven model in its fraud prevention suite that ...

Introduction: The growing prevalence of fraud and malware, fueled by increased online activity and digital transactions, has exposed the shortcomings of conventional detection systems, particularly in ...

Abstract: Auto insurance claim fraud has become increasingly prevalent in recent years posing a significant challenge for the auto insurance industry. To address this issue there is a growing need for ...

ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...

Financial fraud has become both more sophisticated and harder to isolate, hiding within massive streams of legitimate activity. Conventional machine learning models, long relied upon by banks and ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.