Abstract: With the rapid development of machine science in various application fields, it has shown people its enormous potential. However, in machine learning, the use of sensitive data has raised concerns about privacy protection and security. In this article, we first explore a security and private machine learning method based on Intel SGX, which is a hardware based security solution that can provide security zones for code and data. This method can perform machine learning model security and privacy training on sensitive data without compromising data privacy.
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