Sep 16, 2019 · We experimentally demonstrate the power of our system by showing the secure inference of real-world neural networks such as ResNet50 and ...
Abstract— We present CRYPTFLOW, a first of its kind system that converts TensorFlow inference code into Secure Multi-party. Computation (MPC) protocols at ...
We present CrypTFlow, a first of its kind system that converts TensorFlow inference code into Secure Multi-party Computation (MPC) protocols at the push of ...
We experimentally demonstrate the power of our system by showing the secure inference of real-world neural networks such as ResNet50, DenseNet121, and ...
CrypTFlow: Secure TensorFlow Inference - IEEE Computer Society
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We present CrypTFlow, a first of its kind system that converts TensorFlow inference code into Secure Multi-party Computation (MPC) protocols at the push of ...
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CrypTFlow, a first of its kind system that converts TensorFlow inference code into Secure Multi-party Computation (MPC) protocols at the push of a button, ...
Sep 21, 2023 · Bibliographic details on CrypTFlow: Secure TensorFlow Inference.
Dec 9, 2020 · We present CRYPTFLOW, a system that converts TensorFlow inference code into Secure Multi-party Computation (MPC) protocols at the push of a ...
Mar 1, 2021 · CrypTFlow[9][10] is an open source system that converts Tensorflow and ONNX models into Secure Multi-party Computation (MPC) protocols. MPC is a ...
... It helps to solve the dilemma between the DL model owner and the data owner: while the two parties want to jointly apply the model to the data, they do not ...