Methods and apparatus to detect deepfake content

A non-transitory computer readable medium comprising instructions which, when executed, cause at least one processor to at least:

• generate a first probability based on a first output of a local binary model;
• generate a second probability based on a second output of a filter model;
• generate a third probability based on a third output of an image quality assessment;
• generate a first result indicative of whether a blink occurred in a human face in an input media;
• generate a second result representative of a degree of blur in frames of the input media;
• and
• generate a score indicative of whether the input media is authentic based on at least one of the first result and the second result, the first probability, the second probability, and the third probability.

A method comprising:

• generating a first probability based on a first output of a local binary model;
• generating a second probability based on a second output of a filter model;
• generating a third probability based on a third output of an image quality assessment;
• generating a first result indicative of whether a blink occurred in a human face in an input media;
• generating a second result representative of a degree of blur in frames of the input media;
• and
• generating a score indicative of whether the input media is authentic based on at least one of the first result and the second result, the first probability, the second probability, and the third probability.