Toward Verifiable and Privacy Preserving Machine Learning Prediction
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2020.3035591
Abstract: The ubiquitous needs for extracting insights from data are driving the emergence of service providers to offer predictions given the inputs from customers. During this process, it is important and highly nontrivial for the service… read more here.
Keywords: machine learning; privacy preserving; learning prediction; verifiable privacy ... See more keywords
Enabling Verifiable Privacy-Preserving Multi-Type Data Aggregation in Smart Grids
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2021.3124546
Abstract: In this article, we analyze the inherent characteristic of smart grid systems, where we observe that a smart meter always generates different types of electricity consumption data for one user, and a control center (CC)… read more here.
Keywords: privacy preserving; verifiable privacy; type data; multi type ... See more keywords