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ENHANCED PROTECTIONS AGAINST ADVERSARIAL MACHINE LEARNING THREATS UTILIZING CRYPTOGRAPHY AND HARDWARE ASSISTED MONITORING IN ACCELERATORS
ENHANCED PROTECTIONS AGAINST ADVERSARIAL MACHINE LEARNING THREATS UTILIZING CRYPTOGRAPHY AND HARDWARE ASSISTED MONITORING IN ACCELERATORS
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机译：利用密码学和硬件辅助监视加速器来防止对抗机器学习的威胁
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摘要
Embodiments are directed to enhanced protections against adversarial machine learning threats utilizing cryptography and hardware assisted monitoring in hardware accelerators. An embodiment of a system includes one or more processors including a trusted execution environment (TEE), the TEE including a machine learning (ML) service enclave, the ML service enclave including monitoring software; a hardware accelerator including a cryptographic engine and metering hardware, the hardware accelerator to perform processing related to an ML model and the metering hardware to generate statistics regarding data transfers; and an interface with one or more data owners, the ML service enclave to provide access control and data protection for ML data related to the ML model, including establishing secret encryption keys with the data owners and the hardware accelerator; and the monitoring software to analyze the statistics to identify suspicious patterns in the data transfers.
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