MIT News  September 26, 2024 Secure multiparty computations are typically offloaded to cloud computing servers, leading to vulnerabilities that can compromise the security of the clients’ data. A team of researchers in the US (MIT, industry) introduced a linear algebra engine that leveraged the quantum nature of light for information theoretically secure multiparty computation using only conventional telecommunication components. They applied this linear algebra engine to deep learning and derived rigorous upper bounds on the information leakage of both the deep neural network weights and the client’s data and obtained test accuracies exceeding 96% while leaking less than 0.1 bits […]