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In a data-driven world, datasets constitute a significant economic value.
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Deepsigns: An end-to-end watermarking framework for ownership protection of deep neural networks. In Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems . 485–497
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Entangled watermarks as a defense against model extraction. In 30th { \{ USENIX } \} Security Symposium ( { \{ USENIX } \} Security 21)
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SoK: How Robust is Deep Neural Network Image Classification Watermarking?. In IEEE Symposium on Security and Privacy
Nils Lukas, Edward Jiang, Xinda Li, and Florian Kerschbaum. 2022 · 2022
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