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Launch HN: Reality Defender (YC W22) – Deepfake Detection Platform

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81–90 of 93 posts

Re: Launch HN: Reality Defender (YC W22) – Deepfake Detection Platform

#81

> After investigating, we learned why a consistently accurate solution didn’t exist. There is no way to prove 100% solution can exist. If a similar tool is used to verify the evidence of a video in legal setting, then it's just a matter of time an innocent person ends up behind the bars. The only way is for the society to adapt to the fake videos not to rely on a tool that can never be correct.

It's my impression that this tool can only disprove a video. The fact that the tool returns a "Not fake" is not the same as proving it's veracity, a point I would hope a judge would include a jury instruction on, when it becomes part of a trial.

Re: Launch HN: Reality Defender (YC W22) – Deepfake Detection Platform

#83
post #62
post #59

Earlier quoted context omitted.

Currently, we are consider image, video and audio data types. This multi-modal idea sounds interesting none the less, thanks for sharing :)

Thanks! You're welcome. The noise signature could be included in-band, and wouldn't necessarily require multiple machine learning models to verify.

You're right, in-band noise signatures is a pretty cool idea. We take inspiration from digital signal processing techniques when building our ML products.

Re: Launch HN: Reality Defender (YC W22) – Deepfake Detection Platform

#84
post #77

Great idea, and a very necessary thing. Congratulations on the launch! There's a guy on Reddit who restores old photographs in an interesting way. He says he finds bits and pieces in recent stock images, that he cuts and pastes and adjusts until it looks perfect. So it's a kind of deepfake HI (vs. AI). Here's an example of his work: https://i.redd.it/eeoz0hvvwvo81.png Maybe not your target market ATM -- although this…

Thank you for the pointer, the example image restoration looks incredible. Happy to know more about different ways media fakes are being created nowadays.

Re: Launch HN: Reality Defender (YC W22) – Deepfake Detection Platform

#85

This is definitely an interesting problem, and I can see a place for it. I want to comment (in ignorance because I don't know the techniques you are using) that there is more to detecting fakes or "misinformation" than just the digital attributes of the data. Specifically, confirmation from multiple sources, reputation of sources, and above all, consistency with a world model of how people behave. For example, if the…

Great points! This is a problem that must be tackled from multiple directions. Different tools that flag content and general education.

We plan to guide our users in this way, incorporating these different tools and providing general education.

Re: Launch HN: Reality Defender (YC W22) – Deepfake Detection Platform

#87
post #19

Earlier quoted context omitted.

We’re fascinated by the potential applications of crypto in content provenance. In this example, a UGC video platform would need a way to initially determine the content hasn’t been manipulated before it’s signed, right? What about a live scenario where a deepfake mimicking an exec calls a manager to wire $10M ( https://www.forbes.com/sites/thomasbrewster/2021/10/14/huge-... ) We totally recognize deepfake detection…

> "We’re fascinated by the potential applications of crypto in content provenance. In" @bpcrd what's the advantage of using a block-chain to store video fingerprints, to determine provenance, over say a highly performance-optimized immutable centralized or federated system?

There are advantages to both, as well as using existing blockchains (Ie. Bitcoin) to record small amounts of information via Merkle Trees.

Fun fact: The oldest blockchain pre-dates bitcoin....and started in the 1990's in the New York Times classified via a daily recorded hash value!

https://crypto.news/finding-the-oldest-blockchain-in-the-new...

Re: Launch HN: Reality Defender (YC W22) – Deepfake Detection Platform

#88
post #62

Earlier quoted context omitted.

Thanks! You're welcome. The noise signature could be included in-band, and wouldn't necessarily require multiple machine learning models to verify.

You're right, in-band noise signatures is a pretty cool idea. We take inspiration from digital signal processing techniques when building our ML products.

Grand. Take with a grain of salt, but it's possible you could find https://osf.io/m43tg/ worth a look.

Re: Launch HN: Reality Defender (YC W22) – Deepfake Detection Platform

#89
post #72
post #71

Earlier quoted context omitted.

It's not about verification, it's about reasonable doubt.

Right, but verification is the opposite direction of doubt. It's not that verification is a boolean true or false for the evidence, it just helps remove doubt. For example, CCTV footage verified to be pulled from a service station by the police is less easy to doubt CCTV footage provided by a friend of the accused. Adding a verification paper trail to that makes it even harder to doubt. DNA test results provided by t…

Great comments - Better results require more data, improving models, and onboarding new (different) models. All areas of focus for us!

Re: Launch HN: Reality Defender (YC W22) – Deepfake Detection Platform

#90
post #27
post #5

I believe deep-fakes to be a serious threat to functioning democracies around the world. I would love to be on the front-lines fighting against this threat. I have submitted my resume: https://cphoover.github.io/ Have you also considered either offering a browser plugin to display contextual warnings attached to video elements? Or thought of working with browser makers? The web/social media is where a ton of fake med…

I worry about the same thing. I think "blockchain" (or even just a signed, immutable, public database) is mostly a solution in search of a problem, but I do think it may have an application here. If you can hash a video when it's recorded and publish the hash with a timestamp that can't be forged, you can at least prove that this video existed at least as long ago as that stamp. That allows you to invalidate any deep…

I've been thinking about this -- original video could be the NFT, and the purpose of the system would be to verify / validate the content (instead of the weird pyramid schemes it's being used for today).

The issue is with the hash, esp with lossy compression algos. If the video is re-transmitted somewhere, its content remains effectively "the same" (eg, it is that particular person, saying these exact things, at some specific time and place). A regular hash will not match as the video is different bit-to-bit though.

So for this scheme to work, we would need some kind of a "domain hash", something that is very precise in aspects that matter, and fuzzy in ones that don't. In case of videos, one dimension could be the text transcript. But even then it falls apart pretty quickly.

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