Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks

NeurIPS 2019 Lixin FanKam Woh NgChee Seng Chan

With substantial amount of time, resources and human (team) efforts invested to explore and develop successful deep neural networks (DNN), there emerges an urgent need to protect these inventions from being illegally copied, redistributed, or abused without respecting the intellectual properties of legitimate owners. Following recent progresses along this line, we investigate a number of watermark-based DNN ownership verification methods in the face of ambiguity attacks, which aim to cast doubts on the ownership verification by forging counterfeit watermarks... (read more)

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