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Updated: May 11, 2026

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SecureNet:基于后门学习的DNN的主动知识产权保护和模型安全防御

Peihao Li1, Jie Huang2, Huaqing Wu3

  • 1Southeast University, Nanjing, 211189, Jiangsu, China.

Neural networks : the official journal of the International Neural Network Society
|March 7, 2024
PubMed
概括

SecureNet引入了一种基于密钥的新型框架,用于在深度神经网络 (DNN) 中保护知识产权. 这种主动方法使用许可证密钥来控制模型访问,并防御各种攻击,增强DNN安全性.

关键词:
人工智能安全 的人工智能安全后门学习学习 后门学习深度神经网络是一种深度神经网络.保护知识产权知识产权的保护

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