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CV Dazzle [0] is/was a style of makeup that defeated facial recognition, and it seemed to work from multiple angles. Unfortunately it was released something lik
by pizza 8y ago
CV Dazzle [0] is/was a style of makeup that defeated facial recognition, and it seemed to work from multiple angles. Unfortunately it was released something like 5 years ago so I'm certain it won't withstand today's state of the art techniques. Looks like it was never really tested to work against deep learning-based techniques.
That said, I think somebody could very easily come up with an adversarial makeup camouflage recommender. Imagine an interactive visualization of the regions of confidence of a facial recommendation system, hooked up to your webcam. You could have a visual overlay of where to apply make up to most damage the classifier's confidence of your identity.
[0] https://cvdazzle.com/ https://cvdazzle.com/
- Zaphods 8y agoThat CV Dazzle project is fascinating. The link to the warship Dazzle camouflage is also hilarious in the sense that that is what people have to turn to in 2019. It reminds me of the comic book The Private Eye by Brian K Vaughn. In that story the cloud "bursts" and online privacy evaporates overnight so everyone turns to intense camouflage to protect their identity. (https://en.wikipedia.org/wiki/The_Private_Eye https://en.wikipedia.org/wiki/The_Private_Eye)
- RugnirViking 8y agoOn the website it talks about openCV and how to fool that, as well as the general techniques used. I still think from the tips shown that it would be very effective today. For exaple, it talks about how the most distinct features of a face are the nose and eyes, and that hiding or obscuring them works well. Newer technology likely gets much better at spotting noses and eyes, but taking them entirely out of the picture probably helps. Also the asymmetry I can imagine helps a lot.
- rtkwe 8y agoDoes face detection today use the same kind of trained neural nets that YoLo or others use? Watching this video [0] from their site it seems it's using a much more static algorithm trying to detect particular features which is what the CV Dazzle makeup aims to disrupt. As far as I understand one of the benefits of the neural net models is that they're less reliant on defined features than the older CV models. [0] https://vimeo.com/12774628 https://vimeo.com/12774628
- pandemic_region 8y agothing is, when you walk around on the street looking like the people on their website you don't actually need surveillance camera's because every single person will remember seeing you.
- Bartweiss 8y agoIt's certainly not a way to stay stealthy, yeah. And frankly it's probably worse at defeating face recognition than wearing a bulky hoody and staring at your shoes while you walk. I don't think this will be identity-concealing except maybe at some cybergoth raves... It's an awfully cool project, though; both artistic and a transformation-resilient adversarial input.
- soulofmischief 8y agoThe intersection of high fashion, cutting-edge technology, political commentary, and the eternal war for human rights is an incredible thing. Does anyone know of any other such projects in the same vein?
- mcv 8y agoIt's meant to make you hard to recognise by machines. People are fine. At the very least, this could justify weird fashions in cyberpunk and other dystopian settings.
- Tade0 8y agoThis style retcons all those cyberpunk fashion accessories beautifully.
- CharlesColeman 8y agoCV Dazzle is perfect for the cyberpunk future that will never happen.