Patent ID: 11961282
Assignee: ZEROFOX, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method of training a system to detect fake videos comprising:
creating, by one or more processors, a training set, wherein the training set comprises a first plurality of videos known to be real and a second plurality of videos known to be fake;
identifying, by the one or more processors, a distinct characteristic in each video of the training set;
extracting, by the one or more processors, the distinct characteristic from each video of the training set;
down-sampling, by the one or more processors, the extracted distinct characteristic in at least one frame; and
training, by the one or more processors, a weak classifier to, detect irregularities of down-sampled extracted distinct characteristic and, in response to detecting the irregularities, generate a prediction result on whether a test video is fake, the prediction result being dependent on the distinct characteristic and the detected irregularities.