Differential privacy is the de facto standard for protecting privacy in ...
We show how randomized rounding based on Grothendieck's identity can be ...
Differential privacy is a mathematical concept that provides an
informat...
In a world where artificial intelligence and data science become omnipre...
Privacy-preserving data analysis is emerging as a challenging problem wi...
The protection of private information is of vital importance in data-dri...
The two-step spectral clustering method, which consists of the Laplacian...
Machine learning (ML) models trained by differentially private stochasti...