6 citations · 8 across the 5 of their papers we have counts for
5 papers
Estimating the True Distribution of Data Collected with Randomized Response
Carlos Antonio Pinzón, Ehab ElSalamouny, Lucas Massot +3
Randomized Response (RR) is a protocol designed to collect and analyze categorical data with local differential privacy guarantees. It has been used as a building block of mechanis…
On the Consistency and Performance of the Iterative Bayesian Update
Ehab ElSalamouny, Catuscia Palamidessi
In many situations, estimating the distribution of users' data concerning certain attributes is important. To facilitate this estimation while safeguarding users' privacy, the loca…
Reconstruction of the distribution of sensitive data under free-will privacy
Ehab ElSalamouny, Catuscia Palamidessi
The local privacy mechanisms, such as k-RR, RAPPOR, and the geo-indistinguishability ones, have become quite popular thanks to the fact that the obfuscation can be effectuated at t…
Full Convergence of the Iterative Bayesian Update and Applications to Mechanisms for Privacy Protection
Ehab ElSalamouny, Catuscia Palamidessi
The iterative Bayesian update (IBU) and the matrix inversion (INV) are the main methods to retrieve the original distribution from noisy data resulting from the application of priv…
Optimal noise functions for location privacy on continuous regions
Ehab ElSalamouny, Sébastien Gambs
Users of location-based services (LBSs) are highly vulnerable to privacy risks since they need to disclose, at least partially, their locations to benefit from these services. One…