• Sigma_@lemmy.world
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    1 year ago

    Detecting real video as fake seems problematic where it might lead to apathy – folks just don’t believe any video anymore. Similar to Trump’s “everything is fake news” approach

    • Dojan@lemmy.world
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      1 year ago

      Thus far these detectors kind of suck, both for deepfakes and AI generated text. They’re biased against non-native speakers and using them in a scholarly setting can result in punishing students that aren’t cheating.

      The genie was let out of the bottle much too early.

      • Starbuck@lemmy.world
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        1 year ago

        I used to work in the field of image forensics a few years ago, right as the GAN technology was entering the scene. Even when it was just making 200x200 pixel faces, everyone in the industry was starting to panic. Everything we had at the time was based off of detecting inconsistencies in the pixel content, repeating structures that indicated copy/paste attacks, or looking for metadata inconsistencies

        For pixel inconsistencies, you can look at how the jpeg image is encoded to look for blocks that aren’t encoded consistently. This paper coversDCT and some others. https://scholar.google.com/scholar?q=dct+image+forensics&hl=en&as_sdt=0&as_vis=1&oi=scholart#d=gs_qabs&t=1690073435801&u=%23p%3DKmFtRm3WpQ8J That’s just one example, but it’s ultimately looking for things like someone photoshopping a region out or patching something in.

        Similarly, copy-move detection would look for “edges” and “intersections” in images and creating constellations of points, which you can use scale invariant transforms to look for duplicates. This article covers an example where North Korea tried to make their landing force look more impressive https://www.theguardian.com/world/2013/mar/27/north-korea-photoshop-hovercraft

        The problem is that when the entire image is forged, there is no baseline to detect against. The whole thing is uniformly fake. So we’re back to the old “I can tell by looking at it” which is extremely imprecise and labor intensive. In fact, if you look at how GANs work, it’s trivial to embed any detector algorithm into the training process and make something that also defeats that detector.

  • DolphLundgren@lemmy.world
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    1 year ago

    This seems like a very bad idea. I’m concerned that having a test might cause people to suspend their critical thinking responsibility and may have other issues like being inaccurate or causing deep fake tech to just leap frog over it - and then be able to benefit from fake authenticity measurements.

  • M0oP0o@mander.xyz
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    1 year ago

    This seems very close to owning the truth and could be a start to some very dark business.

    • TheYear2525@lemmy.world
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      1 year ago

      Yup, if you think “Fox News truth” is a problem now, wait until there’s “Intel Truth” vs “AMD Truth”.