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Deep-Lock: Secure Authorization for Deep Neural Networks
Feb. 20, 2024, 5:44 a.m. | Manaar Alam, Sayandeep Saha, Debdeep Mukhopadhyay, Sandip Kundu
cs.LG updates on arXiv.org arxiv.org
Abstract: Trained Deep Neural Network (DNN) models are considered valuable Intellectual Properties (IP) in several business models. Prevention of IP theft and unauthorized usage of such DNN models has been raised as of significant concern by industry. In this paper, we address the problem of preventing unauthorized usage of DNN models by proposing a generic and lightweight key-based model-locking scheme, which ensures that a locked model functions correctly only upon applying the correct secret key. The …
abstract arxiv authorization business business models cs.cr cs.lg deep neural network dnn industry network networks neural network neural networks paper prevention stat.ml theft type usage
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