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In this YouTube tutorial, the speakers introduce their recent work on persistent and unforgeable watermarks for deep neural networks, a joint project with Ben Heather from scent lab at the University of Chicago. They discuss how to protect intellectual properties for neural networks and embed watermarks into the end model. Neural networks are increasingly popular, with applications like face recognition, voice recognition, and self-driving cars. The tutorial explains that deep neural networks are machine learning models with multiple layers and neurons, aiming to mimic human brains. They demonstrate a cat and dog classification model using images and the neural network model.
