Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural Networks
Trigger set-based watermarking schemes have gained emerging attention as they provide a means to prove ownership for deep neural network model owners. In this paper, we argue that state-of-the-art trigger set-based watermarking algorithms do not achieve their designed goal of proving ownership. We p...
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Veröffentlicht in: | IEEE transactions on dependable and secure computing 2023-07, Vol.20 (4), p.3434-3448 |
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