SecureNet: Proactive intellectual property protection and model security defense for DNNs based on backdoor learning

Author:

Li PeihaoORCID,Huang JieORCID,Wu Huaqing,Zhang Zeping,Qi Chunyang

Publisher

Elsevier BV

Reference58 articles.

1. Adversarial watermarking transformer: Towards tracing text provenance with data hiding;Abdelnabi,2021

2. Adi, Y., Baum, C., Cisse, M., Pinkas, B., & Keshet, J. (2018). Turning your weakness into a strength: Watermarking deep neural networks by backdooring. In 27th USENIX security symposium (pp. 1615–1631).

3. Gamin: An adversarial approach to black-box model inversion;Aïvodji,2019

4. Deep-lock: Secure authorization for deep neural networks;Alam,2020

5. Boemer, F., Lao, Y., Cammarota, R., & Wierzynski, C. (2019). nGraph-HE: a graph compiler for deep learning on homomorphically encrypted data. In Proceedings of the 16th ACM international conference on computing frontiers (pp. 3–13).

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