3 accepted papers
Deep learning as a service (DLaaS) has been intensively studied to facilitate the wider deployment of the emerging deep learning applications. However, DLaaS may compromise the privacy of both clients and cloud servers. Although some privacy preserving deep neural network (DNN) techniques have been…
A private learning scheme TextHide was recently proposed to protect the private text data during the training phase via so-called instance encoding. We propose a novel reconstruction attack to break TextHide by recovering the private training data, and thus unveil the privacy risks of instance encod…
Energy has been increasingly generated or collected by different entities on the power grid (e.g., universities, hospitals and households) via solar panels, wind turbines or local generators in the past decade. With local energy, such electricity consumers can be considered as “microgrids” which can…