Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to detect deepfake content. An example apparatus to determine whether input media is authentic includes a classifier to generate a first probability based on a first output of a local binary model manager, a second probability based on a second output of a filter model manager, and a third probability based on a third output of an image quality assessor, a score analyzer to obtain the first, second, and third probabilities from the classifier, and in response to obtaining a first result and a second result, generate a score indicative of whether the input media is authentic based on the first result, the second result, the first probability, the second probability, and the third probability.

Abstract: Methods, apparatus, systems and articles of manufacture for detecting malware via analysis of a screen capture are disclosed. An example apparatus includes at least one memory, instructions, and processor circuitry to execute the instructions. The processor circuitry is to detect execution of a process, capture a portion of a screen buffer as a captured image, after the execution of the process is detected, analyze the captured image to determine an image similarity to a stored image in a database, the database to at least store malicious images, and perform a responsive action when the image similarity satisfies a similarity threshold.