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

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 ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Money laundering is on the rise, analysts say, as criminals exploit new technologies like artificial intelligence, crypto, ...

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 ...

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: Context and Justification: As financial services undergo accelerated digitalization, the expansion of electronic transactions within digital wallets increases vulnerabilities to fraud, ...

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 ...