Anomaly and fraud detection with fake event detection using machine learning

A system comprising:

• one or more computers;
• and
• a computer-readable medium coupled to the one or more computers having instructions stored thereon which, when executed by the one or more computers, cause the one or more computers to perform operations comprising:
• training at least one machine learning model to determine features that can be used to determine whether an image is an authentic image of a document or an automatically generated document image, using a first training set of authentic images and a second training set of automatically generated document images;
• receiving a request to classify a first image as either an authentic image of a document or an automatically generated document image;
• using the at least one machine learning model to classify the first image as either an authentic image of a document or an automatically generated document image, based on features included in the first image that are identified by the at least one machine learning model;
• providing a classification of the first image in response to the request;
• and
• updating the at least one machine learning model based on the first image and the classification of the first image, for classifying subsequent requests.

A computer program product encoded on a non-transitory storage medium, the product comprising non-transitory, computer readable instructions for causing one or more processors to perform operations comprising:

• training at least one machine learning model to determine features that can be used to determine whether an image is an authentic image of a document or an automatically generated document image, using a first training set of authentic images and a second training set of automatically generated document images;
• receiving a request to classify a first image as either an authentic image of a document or an automatically generated document image;
• using the at least one machine learning model to classify the first image as either an authentic image of a document or an automatically generated document image, based on features included in the first image that are identified by the at least one machine learning model;
• providing a classification of the first image in response to the request;
• and
• updating the at least one machine learning model based on the first image and the classification of the first image, for classifying subsequent requests.