[bpcrd]

Thank you. As an inference-based detection platform, our models go into every scan with the assumption that all files are both not the original/ground truth AND the files have been likely transcoded. We never say something is 0% or 100% fake because we don’t have that ground truth. That said, our award-winning models are able to say, with a confidence score of 1-99% — the higher being likely manipulated — which, in turn, is sent to the team using said detection to action as they will. Some use it as one of many signals to make an informed decision manually. Others have chosen to moderate or label accordingly. There are experts who’ve been called to testify on matters like this one, and some of them work on these very models.

As for synthetic content that is undetectable to the naked eye or ear, we are already there.

[mitthrowaway2]

Have you checked the calibration of that confidence value? When it reports 99% confidence, are 99/100 of those manipulated?

[brookst]

I’m curious what awards the models have won?

[bpcrd]

We won multiple awards including RSA: https://www.rsaconference.com/library/press-release/reality-...

And we’ve published peer-reviewed research at top AI conferences E.g. CVPR, NeurIPS, ECCV, AAAI, Interspeech which are available at https://www.realitydefender.com/research