Fraud

systems inject rules written by humans. But what if a neural network could discover those rules itself? On this experiment, I extend a hybrid neural network with a differentiable rule-learning module that mechanically extracts...

Abstract datasets are extremely imbalanced, with positive rates below 0.2%. Standard neural networks trained with weighted binary cross-entropy often achieve high ROC-AUC but struggle to discover suspicious transactions under threshold-sensitive metrics. I propose a...

In my last article , I threw out a number of ideas centered around constructing structured graphs, mainly focused on descriptive or unsupervised exploration of information through graph structures. Nevertheless, once we use graph...

Synthetic identity fraud now costs banks $6 billion a 12 months, making it the fastest-growing financial crime within the US Criminals are able to take advantage of personal data breaches...

Apple, who was accused of delaying the launch of the Integrated Siri, was eventually accused of fraud by shareholders. Reuters reported on Wednesday that a bunch lawsuit against Apple was filed by the San Francisco...

AI has empowered fraudsters to sidestep anti-spoofing checks and voice verification, allowing them to supply counterfeit identification and financial documents remarkably quickly. Their methods have develop into increasingly inventive as generative technology evolves. How...

Fraud and cybersecurity threats are escalating at an alarming rate. Businesses lose an estimated 5% of their annual revenue to fraud. The digital transformation of economic services, e-commerce, and enterprise security has created recent...

Bank card fraud detection is a plague that every one financial institutions are in danger with. Normally fraud detection could be very difficult because fraudsters are coming up with recent and revolutionary ways of...