4 papers · 1 filter
Differentially Private Decentralized Dataset Synthesis Through Randomized Mixing with Correlated Noise
Utsab Saha, Tanvir Muntakim Tonoy, Hafiz Imtiaz
In this work, we explore differentially private synthetic data generation in a decentralized-data setting by building on the recently proposed Differentially Private Class-Centric…
DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing
Utsab Saha, Tanvir Muntakim Tonoy, Hafiz Imtiaz
In recent years, the growth of data across various sectors, including healthcare, security, finance, and education, has created significant opportunities for analysis and informed…
Improved Differentially Private Decentralized Source Separation for fMRI Data
Hafiz Imtiaz, Jafar Mohammadi, Rogers Silva +4
Blind source separation algorithms such as independent component analysis (ICA) are widely used in the analysis of neuroimaging data. In order to leverage larger sample sizes, diff…
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization
Hafiz Imtiaz, Anand D. Sarwate
In many signal processing and machine learning applications, datasets containing private information are held at different locations, requiring the development of distributed priva…