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Found 7 papers, 1 papers with code
Distributed Differentially Private Computation of Functions with Correlated Noise
CAPE can be used in conjunction with the functional mechanism for statistical and machine learning optimization problems.
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization
Tensor and matrix factorizations are key components of many processing pipelines.
A Face Recognition Scheme using Wavelet Based Dominant Features
In this paper, a multi-resolution feature extraction algorithm for face recognition is proposed based on two-dimensional discrete wavelet transform (2D-DWT), which efficiently exploits the local spatial variations in a face image.
Improved Differentially Private Decentralized Source Separation for fMRI Data
In this work, we propose a differentially private algorithm for performing ICA in a decentralized data setting.
Privacy-preserving Non-negative Matrix Factorization with Outliers
We show our proposed framework's performance in six real data sets.
Human Activity Recognition from Wi-Fi CSI Data Using Principal Component-Based Wavelet CNN
Human Activity Recognition (HAR) is an emerging technology with several applications in surveillance, security, and healthcare sectors.
Privacy-Preserving Matrix Factorization for Recommendation Systems using Gaussian Mechanism
Building a recommendation system involves analyzing user data, which can potentially leak sensitive information about users.
