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Adversarial Machine Learning Research with Florian Tramèr

Zero Knowledge

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Are You Trying to Break Machine Learning Models?

A lot of my research has been kind of attack focused. The end goal obviously being that we could also come up with some reasonable defense ideas, but it seems like right now you can either look at machine learning models in really in the absolute worst case and sort of say, yeah, if I give you my machine learning model, I tell you exactly how it works, it's like trivial to attack. Can you can you find a defense? And this is just a it seems as of now a hopelessly unsolvable problem.

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