see also "Training a deep learning model for deepfake detection" ( https://news.ycombinator.com/item?id=22433711 )
Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
21–30 of 105 posts
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#22Can god create a fake so deep that they themselves can’t detect it?
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#23We should also look towards simpler alternatives. ( For example some days back I also read about a profile made on a social media platform with a "generated" face )
1) For image platforms to prevent "generated" profile with fake faces, may be request 2 profile pictures and not one. A task that is difficult to achieve at high resolution.
2) For deep fake videos .. May be the idea be to fight the "video" part and not the "deep fake" part. By that I mean "signed" content. ABC news should "sign" generated videos and so should other publishing houses. So that any other source claiming forged voice or certain kind of "faked" content are not able to do so.
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#24Now we can use this new AI to train another AI that can defeat it. And so continues the great cat vs mouse chase. I don't think this is a problem that is ever going to be solved. Deep fakes will become more and more popular, and harder to detect.
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Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#25There is a simpler alternative imo: consider any news that do not list all of their sources as fake news. Treat them as if they were scientific papers.
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#26The problem will increasingly be "whose algorithm do we believe". Internet has revealed that people believe mostly what they want to. We have seen that a large subset of people are believing Bill Gates is behind the pandemic. Why would masses somehow be more rational in picking the most rigorous and objective neural network to recognize deepfakes, than they are in making sense of the world in general? In the end we w…
Because YouTube, Facebook will flag these videos before they become too widespread.
You're missing a sarcasm mark.
But seriously: at best it's going to be a big "maybe, it depends". These services bounce between PR disasters of "complicit purveyors of propaganda" and "oppressive algorithms destroying free speech", so you can't rely on them to be on either side.
As deepfakes get better, the algorithms will have worse detection rate, so it'll end with Zuck testifying to congress that Facebook doesn't want to decide what is real, so everyone can post deepfakes all day long.
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#27Seems like an AI arms race just begun
Someone just found the other half of their deep fake GAN
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#28Can god create a fake so deep that they themselves can’t detect it?
DNA will set them apart
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#29What if it gives false positive results? What if it tags non-deepfake news as deepfake-news ?
Re: Stopping deepfake news with an AI algorithm that can tell when a face doesnt fit
#30The problem will increasingly be "whose algorithm do we believe". Internet has revealed that people believe mostly what they want to. We have seen that a large subset of people are believing Bill Gates is behind the pandemic. Why would masses somehow be more rational in picking the most rigorous and objective neural network to recognize deepfakes, than they are in making sense of the world in general? In the end we w…
Aren't digital signatures the best solution we have for this problem?
Commercial entities want to have the priviledge of being able to modify the content submitted by content creators, but the culture of trusting i.e. Twitter over client verification needs to change.