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TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding. (arXiv:2202.06091v2 [cs.CR] UPDATED)
Feb. 23, 2022, 2:12 a.m. | Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj, Fernando Perez-Cruz, Luigi V. Mancini
cs.LG updates on arXiv.org arxiv.org
The proliferation of deep learning applications in several areas has led to
the rapid adoption of such solutions from an ever-growing number of
institutions and companies. These entities' deep neural network (DNN) models
are often trained on proprietary data. They require powerful computational
resources, with the resulting DNN models being incorporated in the company's
work pipeline or provided as a service. Being trained on proprietary
information, these models provide a competitive edge for the owner company. At
the same time, …
More from arxiv.org / cs.LG updates on arXiv.org
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