WebOct 27, 2024 · In the paper, CrypTFlow: Secure TensorFlow Inference, Microsoft Research proposes a framework to seamlessly convert TensorFlow inference code into secure multi-party computation (sMPC) protocols. The objective: Present a framework that abstracts the use of sMPC protocols from TensorFlow developers. WebJul 5, 2024 · This framework allows for secure inference of neural networks with three parties, assuming at most one of them is passively corrupt. This is achieved by mixing garbled circuits with additive...

CrypTFlow: Secure TensorFlow Inference - Nishant Kumar

WebWe present 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. To do this, we build three components. Our first component, Athos, is an end-to-end compiler from TensorFlow to a variety of semihonest MPC protocols. The second component, Porthos, … WebWe present 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. To do this, … ionic fitness

(PDF) CrypTFlow: Secure TensorFlow Inference

WebCrypTFlow, a first of its kind system that converts TensorFlow inference code into Secure Multi-party Computation (MPC) protocols at the push of a button, outperforms prior work in the area of secure inference. Expand. 129. PDF. View 1 … WebWe present 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. To do this, … ionic fitness watch