Patent ID: 11875494
Assignee: LENDBUZZ, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system comprising:
one or more processors; and
a non-transitory computer-readable medium including instructions for a trained machine-learning model that is executable by the one or more processors to detect a manipulation of an image, the trained machine-learning model including:
a constrained convolutional layer that is configured to employ a filter having a set of weights with a sum of zero for detecting one or more image-manipulation fingerprints in the image and to generate a feature map associated with the image-manipulation fingerprints;
a plurality of separable convolutional layers that are subsequent to the constrained convolutional layer, the plurality of separable convolution layers being configured to perform a respective spatial convolution on each color channel of the image based on the feature map to generate a plurality of feature maps corresponding to the image;
a plurality of maximum-pooling layers that are interspersed between the plurality of separable convolutional layers;
a global average-pooling layer that is subsequent to the plurality of separable convolutional layers for averaging the plurality of feature maps to generate a vector of feature values; and
a fully connected layer that is subsequent to the global average-pooling layer for receiving the vector of feature values and outputting an indication of whether the image was manipulated or not manipulated.