The linear regression algorithm aims to help MLE to obtain the model without leakage of the information of the data instances. The information of the data ...
In this paper, we improve the system model in order to design a more practical linear regression algorithm over the rational numbers from the view of security.
In this paper, we improve the system model in order to design a more practical linear regression algorithm over the rational numbers from the view of security.
In this talk, we will describe some practical ways for speeding up the computation of linear regression on clinical data. These methods include the use of ...
Privacy-preserving ridge regression with only linearly-homomorphic encryption. In: Preneel, B., Vercauteren, F. (Eds.), Applied Cryptography and Network ...
Abstract: We propose privacy-preserving protocols for com- puting linear regression models, in the setting where the train-.
Jun 26, 2023 · To fully and securely exploit the value of different data sources, this paper proposes a privacy-preserving GPR method based on secret sharing ( ...
Missing: Toward linear
To fully and securely ex- ploit the value of different data sources, this pa- per proposes a privacy-preserving GPR method based on secret sharing (SS), a ...
In this paper, we present our approach to addressing this problem through PrivML, a framework for end-to-end outsourced privacy-preserving data classification ...
Missing: linear regression.
Jul 8, 2020 · grating towards data-driven business models relying on ma- chine learning methods to uncover strategic and insightful information out of data.