As third-party ecosystems grow more complex, compliance teams face mounting pressure to assess and monitor external ...

Machine learning ... The use of multiple node distributed processing systems makes it possible to detect fraud at scale simply and effectively. Detection accuracies of 94% and confirmed uptime of ...

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 ...

This project is using retrofit/okhttp together with a MockNetworkInterceptor. This lets you define how the API should behave. Everything can be configured: http status codes, response data and delays.

This project is a simple spam message classifier built using Python's Scikit-learn library. It uses a Multinomial Naive Bayes model combined with a Count Vectorizer to classify text messages as either ...