17 citations · 17 across the 1 of their papers we have counts for
2 papers
cs.CR2017
Computational Differential Privacy from Lattice-based Cryptography
Filipp Valovich, Francesco Aldà
The emerging technologies for large scale data analysis raise new challenges to the security and privacy of sensitive user data. In this work we investigate the problem of private…
cs.LG2017★ 17 cited
Pain-Free Random Differential Privacy with Sensitivity Sampling
Benjamin I. P. Rubinstein, Francesco Aldà
Popular approaches to differential privacy, such as the Laplace and exponential mechanisms, calibrate randomised smoothing through global sensitivity of the target non-private func…