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RE: Was this post WRITTEN BY MACHINE? New Harvard AI Can Recognize That

in #technology2 years ago

Thank you for sharing your opinion @eturnerx. I appreciate it a lot :)

One potential solution is to put the detector AI behind a paid API - a penny or two per detection request might be sufficient to raise the cost of adversarial probing to the point most attackers won't bother.

I totally agree with you, but I suppose GLTR is rather an experiment than a serious tool. As I mentioned, it only increases a chance to spot the fake text, and I believe that in about 6-12 months machine-generated texts will be so advanced that GLTR will become helpless. And unfortunately I see no space for further development and improvements of this tool.

An an amusing annecdote: some years back a colleague and I annoyed somebody at a trade fair by adversarially attacking their face detection/tracking system. We managed to fool it with two circles and a line hand drawn on piece paper. Systems are much better now, but will still have vulnerabilities.

That's really interesting. As far as I know, till the premiere of iPhone X face recognition systems were generally easy to trick with a photo. Ultimately Apple introduced their special sensor able to recognize face in 3 dimensions, thus becoming resistant to the images. However I think you can still convince it by using some precise mask.

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I believe that in about 6-12 months machine-generated texts will be so advanced that GLTR will become helpless. And unfortunately I see no space for further development and improvements of this tool.

I think it's an arms race. While GLTR might not be the best detector in future, something else will be.

While GLTR might not be the best detector in future, something else will be.

I agree, but the concept of this tool will have to be reworked.