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Have you been faked?

havetheyfaked.me

31–40 of 77 posts

Re: Have you been faked?

#31

Earlier quoted context omitted.

> All the pics and their vectors stay on this small server. This should be mentioned on the website. > if you want to be deleted please drop me a letter wastemaster@gmail.com There should be an easier mechanism to request a deletion of our photo. Better still, request permission from the user to store the photo in your servers before actually storing them. I think this is the bare minimum of transparency that should…

Agree, thank you. Somehow I missed that, yep going to add with next update

I would honestly suggest just deleting the photo after use, there is such a big minefield with something like this and the EU

Re: Have you been faked?

#32

Earlier quoted context omitted.

> All the pics and their vectors stay on this small server. This should be mentioned on the website. > if you want to be deleted please drop me a letter wastemaster@gmail.com There should be an easier mechanism to request a deletion of our photo. Better still, request permission from the user to store the photo in your servers before actually storing them. I think this is the bare minimum of transparency that should…

Agree, thank you. Somehow I missed that, yep going to add with next update

The fact that you don't want to immediately delete the data after processing is a cause for concern.

I can't think of any reason not to immediately delete the data, other than that you intend to use it for something else in the future.

That said, I appreciate your honesty. If you had actually nefarious intentions, you would presumably just claim that you deleted the data when you don't

Re: Have you been faked?

#33
post #3

>You have probably seen https://thispersondoesnotexist.com/ by Philip Wang. >But have you ever wondered if they made photos that look like you? Let's check! >We collected the huge dataset of 428526 fake generated photos and extracted their facial parameters with https://github.com/ageitgey/face_recognition . Now you can match your image against fake faces and compare with the closest matches. Enjoy! Maybe it is just…

>Maybe it is just me, but how would I go if I wanted to harvest large numbers of "real" photos of "real" persons?

Use APIs or scraping to collect profile photos from facebook, twitter, google, gravatar, etc. You'll get a lot of non-person photos, but havetheyfaked.me probably does too.

Re: Have you been faked?

#35
post #16

Earlier quoted context omitted.

> All the pics and their vectors stay on this small server. This should be mentioned on the website. > if you want to be deleted please drop me a letter wastemaster@gmail.com There should be an easier mechanism to request a deletion of our photo. Better still, request permission from the user to store the photo in your servers before actually storing them. I think this is the bare minimum of transparency that should…

Not to mention that the website is accessible from the EU, and you're required -by law- to obtain consent to store this personal data, and to tell people what exactly you're going to do with it, and with whom you're sharing it (if anyone). I know everyone's used to the wild west but I'm glad that's changing, because of comments like yours - this transparency should NOT be something done out of the website owner's goo…

and you're required -by law-

Does the GDPR apply to non-commercial, non-business, non-organizations?

Re: Have you been faked?

#36

What happened here? https://havetheyfaked.me/d/ed0949b5-7a05-4614-8b0e-267e4458a... Also I got told I matched with this https://havetheyfaked.me/d/c4662bf7-eb98-4c7f-a59d-6c96c9c1f...

There seems to be plenty of less-than-pleasant outputs from this net. I had a couple of strange ones when I landed: [1][2]. If those were generated with GAN, the adversarial network could really use another training pass with examples like this (and if GANs are not used, there could be a simple network filtering the first net's output).

[1]: https://havetheyfaked.me/d/539e20e9-560c-4a8d-a2ba-ca89e2c9a...

[2]: https://havetheyfaked.me/d/86526a1d-bbe7-4956-8bec-a7e64e082...

Re: Have you been faked?

#37

I love this comment mood. Everyone losing it when some random small website asks people to upload their photo if they want to find out some random information. But everyone's cool with sharing constantly on FB, IG, uploading their photos and locations to massive companies, etc etc. The internet has reality distorted everyone's perspective. Orwell would be have something to say about it. Everyone loves Big Brother (FA…

I think you'll find an above average amount of people here who despise FAANG and haven't given them anything.

Re: Have you been faked?

#38

I love this comment mood. Everyone losing it when some random small website asks people to upload their photo if they want to find out some random information. But everyone's cool with sharing constantly on FB, IG, uploading their photos and locations to massive companies, etc etc. The internet has reality distorted everyone's perspective. Orwell would be have something to say about it. Everyone loves Big Brother (FA…

There's no reason to assume people commenting here about risks use any of those sites and post their photos to them.

Re: Have you been faked?

#40
post #33
post #3

>You have probably seen https://thispersondoesnotexist.com/ by Philip Wang. >But have you ever wondered if they made photos that look like you? Let's check! >We collected the huge dataset of 428526 fake generated photos and extracted their facial parameters with https://github.com/ageitgey/face_recognition . Now you can match your image against fake faces and compare with the closest matches. Enjoy! Maybe it is just…

>Maybe it is just me, but how would I go if I wanted to harvest large numbers of "real" photos of "real" persons? Use APIs or scraping to collect profile photos from facebook, twitter, google, gravatar, etc. You'll get a lot of non-person photos, but havetheyfaked.me probably does too.

Yep, but as said above that would be "big data" with the need of de-duplicating them and with no additional (reliable) parameters.

Then you will need some AI (or whatever) to remove non-human photos or non-suitable photos (position, lighting, etc.) whilst this method would almost guarantee only "portraits" or "upper torso" pictures of humans.

What I tried to say wasn't that this is the "only" method, but that it is one of the "easy" ones with a high probability of getting "reliable" data.

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