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Re:Launch HN: Reality Defender (YC W22) – Deepfake Detection... by Geee on Tuesday March 22, 2022 @12:12PM (#30767885)
We have solved this problem already for text with digital signatures. There might be a way to digitally sign speech in real-time and show the signature on a display device, which is captured on video. It could be just a smartphone app or a separate device. This way every video could be proven authentic, even if they originate from unofficial sources.
Re:Launch HN: Reality Defender (YC W22) – Deepfake Detection... by asail77 on Tuesday March 22, 2022 @08:32PM (#30773418)
We hope a standard will be created and used by all digital content creation tools. But this will take time. And even then, bad actors will not be deterred. They will find ways to create fake content and pass it as authentic. We want to be there to fight them every step of the way!
Re:Launch HN: Reality Defender (YC W22) – Deepfake Detection... by btbuildem on Thursday March 24, 2022 @09:50AM (#30789724)
How do you hash something so fuzzy as video / speech? Two different microphones picking up the same audio will result in two digital recordings that hash differently.
Re:Launch HN: Reality Defender (YC W22) – Deepfake Detection... by Geee on Friday March 25, 2022 @12:45PM (#30804378)
That's the problem. It would require some kind of new fuzzy signature algorithm, which works on information content in speech, rather than raw audio data. In this case, exact matching of data isn't important, but major changes in information, so that changing / removing / adding words wouldn't be possible. Simple way would be to just convert speech to text first with a known method, so that both microphones could work from the same source data. The display device could actually show real-time transcription of the speech along with the signatures.