Technology Radar
Published : Apr 03, 2024
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar.
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Apr 2024
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在此之前，我们曾经标记过允许在加密过的数据上进行计算的同态加密技术。Concrete MLl 就是这样一个允许在隐私保护的环境下进行机器学习的开源工具。作为一个基于Concrete 构建的工具，它帮助数据科学家们简化了完全同态加密(FHE)的使用，帮助他们将机器学习的模型自动转化为同态加密过的数据。此外，Concrete ML的内置模型中还有和他们的机器学习算法库几乎相同的API。你也可以通过Concrete ML的转换API将PyTorch 网络进行完全同态加密。然而，需要注意的是，若在没有调校过的硬件 中使用Concrete ML会导致完全同态加密的速度变慢。
