Abstract: There is provided a computer implemented method of explainability of a media element identified as deepfake, comprising: feeding the media element into a deepfake model trained to classify the media element as deepfake or not deepfake, wherein the deepfake model is implemented as a non-explainable model, in response to the deepfake model classifying the media element as deepfake: automatically dividing the media element into a plurality of sub-regions, for each respective sub-region of the plurality of sub-regions, creating a synthetic media element including the respective sub-region and excluding other sub-regions, feeding each of a plurality of synthetic media elements into the deepfake model, in response to the deepfake model classifying at least one of the synthetic media elements as being deepfake, creating a presentation indicating the sub-region corresponding to each at least one synthetic media elements classified as deepfake.

Abstract: A system, method, and computer program product are provided for monitoring and allocating a quota for a user session associated with a service corresponding to a communication service provider (CSP). In operation, at least one user session associated with at least one user is identified for allocation of quota information (e.g. information associated with quota size, timeout, etc.) for use of a service associated with a communication service provider. The allocation of the quota information is based on an available balance for use by the at least one user. Further, at least one consumption report of previous quotas associated with the at least one user session is evaluated to identify intervals with high correlation of used service units for consecutive quotas. Additionally, a dynamic quota to allocate to the at least one user session is determined for at least one time period based on the identified intervals with high correlation of used service units for consecutive quotas.