Researchers Analyze the Current Findings on Confidential Computing-Assisted Machine Learning ML Security and Privacy Techniques Along with the Limitations in Existing Trusted Execution Environment (TEE) Systems

The evolution of machine learning (ML) offers broader possibilities of use. However, wide applications also increase the risks of large attack surface on ML’s security and privacy. . ML models likely use private and sometimes sensitive data, for example, specific information about people (names, photos, addresses, preferences, etc.). In addition, the architecture of the network […]

The post Researchers Analyze the Current Findings on Confidential Computing-Assisted Machine Learning ML Security and Privacy Techniques Along with the Limitations in Existing Trusted …

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