17 citations · 21 across the 3 of their papers we have counts for
5 papers
On the privacy-utility trade-off in differentially private hierarchical text classification
Dominik Wunderlich, Daniel Bernau, Francesco Aldà +2
Hierarchical text classification consists in classifying text documents into a hierarchy of classes and sub-classes. Although artificial neural networks have proved useful to perfo…
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…
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…
Private Stream Aggregation Revisited
Filipp Valovich, Francesco Aldà
In this work, we investigate the problem of private statistical analysis in the distributed and semi-honest setting. In particular, we study properties of Private Stream Aggregatio…
The Bernstein Mechanism: Function Release under Differential Privacy
Francesco Aldà, Benjamin I. P. Rubinstein
We address the problem of general function release under differential privacy, by developing a functional mechanism that applies under the weak assumptions of oracle access to targ…