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Deep Neural Network Watermarking is a method for provenance verification, where a unique message can be extracted with an image classifier. Various watermarking schemes claim robustness, but a systematic evaluation against removal attacks shows none are actually robust. In fact, dominant attacks can remove watermarks while maintaining model utility. Join the presentation to learn more about deep neural network watermarking, adaptive attacks, defenses, and best practices for evaluating robustness.