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How an A.I. ‘Cat-And-Mouse Game’ Generates Believable Fake Photos

nytimes.com

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Re: How an A.I. ‘Cat-And-Mouse Game’ Generates Believable Fake Photos

#21

Post by visarga »

oillio wrote: post #12

Good article and great tech. However, I don't know if I believe the results are as good as they claim. Many of the pictures look a bit off to me, like they all have dead eyes. Maybe celebrities generally look like that anyway, so it is being true to form. :) In particular, I think this guy is missing a pretty significant part of his head: https://static01.nyt.com/newsgraphics/2017/12/26/ai-faces/8e...

The inventor of GANs, which have been considered the most interesting idea in ML in the last decade, is Ian Goodfellow. I met him on reddit a few years ago. I was supposed to get private ML tutoring from him, just around the time Andrew Ng opened the first Coursera course. I didn't get lessons because I gave up and eventually took the MOOC. But it's amazing to know we share the same forums and sometimes exchange a comment or two.

The great idea about GANs is that they replace one of the most hard to understand parts of a neural net - the "Loss function" - with another neural net, thus making the loss function learnable. This opens up the door for a kind of unsupervised learning that was impossible to make work before. GANs are very very important also because they are almost like reinforcement learning (actor + critic = RL, generator + discriminator = GAN), and RL is supposed to be the way to AGI.

The most famous problem of GANs is instability during training and mode collapse - which is like a student learning especially for an exam (and not in general) thus optimising for the test instead of the real thing.

Re: How an A.I. ‘Cat-And-Mouse Game’ Generates Believable Fake Photos

#23

Post by disantlor »

pluma wrote: post #17
saycheese wrote: post #14

>> “QUESTION: Look at the two photos below and see if you can figure out which person is real.” >> “ANSWER: Sorry! This was a trick question. Both images were generated by computers.” Not really a trick question when even if you know they’re both fake that the only way to be right (confirm you are right) is to be wrong.

Yeah, I thought both looked a tiny bit off. I think it has to do with the reflection in the eyes which is a tiny bit inconsistent, among other things.

maybe so (they fooled me) but you were already prepped to scrutinize them. To the point others have made, we’ll soon need to be constantly prepared to assume fakery.

the technology of fakery is rising the meet the “everything is fake news” moment

Re: How an A.I. ‘Cat-And-Mouse Game’ Generates Believable Fake Photos

#24

Post by delecti »

oillio wrote: post #12

Good article and great tech. However, I don't know if I believe the results are as good as they claim. Many of the pictures look a bit off to me, like they all have dead eyes. Maybe celebrities generally look like that anyway, so it is being true to form. :) In particular, I think this guy is missing a pretty significant part of his head: https://static01.nyt.com/newsgraphics/2017/12/26/ai-faces/8e...

You were primed to be looking for flaws by the nature of the article. It wouldn't be hard to come up with a context where each and every one of the 3x3 grid of pictures in that article was accepted at face value.

Re: How an A.I. ‘Cat-And-Mouse Game’ Generates Believable Fake Photos

#25

Post by visarga »

33W wrote: post #22

I found the Obama video at the end very interesting. It would be a neat next step to map non-Obama audio to the generated video. For example, pull audio from an Obama impersonator.

> pull audio from an Obama impersonator

We can impersonate voices with neural nets. We can clone timbre and style, and this tech is being used commercially by Baidu at the very least (keyword: Deep Voice 3).

Re: How an A.I. ‘Cat-And-Mouse Game’ Generates Believable Fake Photos

#26

Post by EGreg »

Mr. Hwang believes the technology will evolve into a kind of A.I. arms race pitting those trying to deceive against those trying to identify the deception.

That's like a chess game. We have seen AlphaGo and other MCTS implementations take the "trying to detect the deception" into account.

By the time the image is generated, it would have already been factored in.

Re: How an A.I. ‘Cat-And-Mouse Game’ Generates Believable Fake Photos

#28

Post by visarga »

blaze33 wrote: post #4

The paper was published in October and is named: Progressive Growing of GANs for Improved Quality, Stability, and Variation http://research.nvidia.com/publication/2017-10_Progressive-G...

And the one hour movie of celeb faces generated by the Progressive GAN (ProGAN) is here.

https://www.youtube.com/watch?v=36lE9tV9vm0

The most amazing AI video I have ever seen, actually. I spent hours staring into it - it works great as background for many pieces of music, you can think of it as the AI version of the burning log video.

Re: How an A.I. ‘Cat-And-Mouse Game’ Generates Believable Fake Photos

#30

Post by visarga »

EGreg wrote: post #26

Mr. Hwang believes the technology will evolve into a kind of A.I. arms race pitting those trying to deceive against those trying to identify the deception. That's like a chess game. We have seen AlphaGo and other MCTS implementations take the "trying to detect the deception" into account. By the time the image is generated, it would have already been factored in.

> the technology will evolve into a kind of A.I. arms race

Ha! Google Brain organised a competition on "Adversarial Attacks and Defenses" within the NIPS 2017 conference.

Reminds me of Harry Potter learning magic attack and defence arts at Hogwarts.

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