Detecting fraud in image recognition systems

In one aspect, the present disclosure relates to a method for detecting fraud in image recognition systems, the method including receiving one or more input images from a device associated with a user, the one or more input images comprising a face associated with the user; identifying the face in the one or more input images with a computer vision technique; analyzing the one or more input images using a first neural network trained to recognize the user's face; analyzing the one or more input images using a second neural network trained to detect fraudulent images; determining whether the image is fraudulent or non-fraudulent; granting access to the user if the first neural network recognizes the user's face and the image is determined to be non-fraudulent; and preventing access to the user if the first neural network cannot recognize the user's face or the image is determined to be fraudulent.