WebFeb 19, 2024 · Advancements in deep learning enable cloud servers to provide inference-as-a-service for clients. In this scenario, clients send their raw data to the server to run the deep learning model and send back the results. One standing challenge in this setting is to ensure the privacy of the clients' sensitive data. Oblivious inference is the task of … WebMay 21, 2024 · Abstract: 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 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.
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WebMing Zhang (2 papers) Kathryn S. McKinley (2 papers) Suman Nath (2 papers) George Danezis (2 papers) John R. Douceur (2 papers) James Mickens (2 papers) Shuvendu K. Lahiri (2 papers) Christos Gkantsidis (2 papers) Gloria Mainar-Ruiz (2 papers) Eyal Ofek (2 papers) Hao Chen (2 papers) Stefan Saroiu (2 papers) David Chisnall (2 papers) Chris ... WebJan 1, 2024 · Our protocol for secure inference can distinguish falls from activities of daily living with 86.21% sensitivity and 99.14% specificity, with an average inference latency of 1.2 seconds and 2.4 ... solway sharks supporters
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WebAug 18, 2024 · At the core of CrypTFlow2, we have new 2PC protocols for secure comparison and division, designed carefully to balance round and communication … WebCrypTFlow2: Practical 2-Party Secure Inference We present CrypTFlow2, a cryptographic framework for secure inference ov... 0 Deevashwer Rathee, et al. ∙ WebCrypTFlow2: Practical 2-party secure inference. ... SIRNN: A math library for secure inference of RNNs. D Rathee, M Rathee, RKK Goli, D Gupta, R Sharma, N Chandran, ... IEEE S&P, 2024. 7: 2024: SecFloat: Accurate Floating-Point meets Secure 2 … small business building for sale