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Deep Neural Network Watermarking is a method for provenance verification through extracting a unique message using an image classifier. Recent watermarking schemes claim robustness, but a comprehensive evaluation of 31 attacks reveals none are truly robust. New adaptive attacks can easily remove watermarks without compromising model utility. Join our presentation for more on deep neural network watermarking, adaptive attacks, defenses, and best practices for evaluating robustness.