Abstract: Method and system are provided for user authentication using original and modified images. The method includes receiving an original image for a user, where the original image is a private image that meets certain configured criteria. The method uses a pre-trained Convolutional Neural Network (CNN) model to extract one or more image features of the original image and feeds the extracted image feature into a Generative Adversarial Network (GAN) image generator to realistically modify the extracted image feature to generate a modified image. The method authenticates a user based on recognition of a presented original image or a presented modified image.

Abstract: Computer hardware and/or software that performs the following operations: (i) identifying rules for relating events in an event monitoring system; (ii) determining an event window having a set of related events within a particular time window, based, at least in part, on the rules; (iii) classifying the event window as actionable by applying a machine learning based classification model to information pertaining to the event window, the information originating from a plurality of data sources; and (iv) creating an event ticket for the event window in the event monitoring system.

Abstract: Method and system are provided for user authentication using original and modified images. The method includes receiving an original image for a user, where the original image is a private image that meets certain configured criteria. The method uses a pre-trained Convolutional Neural Network (CNN) model to extract one or more image features of the original image and feeds the extracted image feature into a Generative Adversarial Network (GAN) image generator to realistically modify the extracted image feature to generate a modified image. The method authenticates a user based on recognition of a presented original image or a presented modified image.