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Frequency Estimation of Evolving Data Under Local Differential Privacy
Héber H. Arcolezi, Carlos Pinzón, Catuscia Palamidessi +1
Collecting and analyzing evolving longitudinal data has become a common practice. One possible approach to protect the users' privacy in this context is to use local differential p…
Minimizing Information Leakage under Padding Constraints
Sebastian Simon, Cezara Petrui, Carlos Pinzón +1
An attacker can gain information of a user by analyzing its network traffic. The size of transferred data leaks information about the file being transferred or the service being us…
Survey on Fairness Notions and Related Tensions
Guilherme Alves, Fabien Bernier, Miguel Couceiro +3
Automated decision systems are increasingly used to take consequential decisions in problems such as job hiring and loan granting with the hope of replacing subjective human decisi…
On the Risks of Collecting Multidimensional Data Under Local Differential Privacy
Héber H. Arcolezi, Sébastien Gambs, Jean-François Couchot +1
The private collection of multiple statistics from a population is a fundamental statistical problem. One possible approach to realize this is to rely on the local model of differe…
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…
On the (Im)Possibility of Estimating Various Notions of Differential Privacy
Daniele Gorla, Louis Jalouzot, Federica Granese +2
We analyze to what extent final users can infer information about the level of protection of their data when the data obfuscation mechanism is a priori unknown to them (the so-call…