WebAug 26, 2024 · The CrypTFlow2 framework provides a potential solution with its ability to automatically and correctly translate clear-text inference to secure inference for arbitrary models. However, the resultant secure inference from CrypTFlow2 is impractically expensive: Almost 3TB of communication is required to interpret a single X-ray on … WebThe CrypTFlow2 framework provides a potential solution with its ability to automatically and correctly translate clear-text inference to secure inference for arbitrary models. However, the resultant secure inference from CrypTFlow2 is impractically expensive: Almost 3TB of communication is required to interpret a single X-ray on DenseNet-121.
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WebMar 24, 2024 · Using Cheetah, we present intensive benchmarks over several large-scale deep neural networks. Take ResNet50 for an example, an end- to-end execution of Cheetah under a WAN setting costs less than 2.5 minutes and 2.3 gigabytes of communication, which outperforms CrypTFlow2 (ACM CCS 2024) by about 5.6× and 12.9×, respectively. WebJul 29, 2024 · CrypTFlow2: Practical 2-Party Secure Inference. Published at ACM Conference on Computer and Communications Security (CCS), 2024. We present … WebCrypTFlow2 [50] leverage homomorphic encryption (HE) to evaluate the linear functions of DNN and turn to garbled circuits (GC) or oblivious transfer (OT) to compute the non-linear functions of DNN. Cheetah is also a hybrid system with novel insights on designing the base protocols and on the way how to coordinate different types of cryptographic iotsharp 使用