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Deep Neural Network Watermarking is a method for provenance verification using image classifiers. Many proposed watermarking schemes claim robustness, but a systematic evaluation against removal attacks shows none are truly robust. Current evaluation methods have flaws, with dominant attacks able to remove watermarks without sacrificing model utility. Learn more about deep neural network watermarking, adaptive attacks, defenses, and empirical evaluation of robustness in our presentation.
