9 papers · 1 filter
Optimal Maximal Leakage-Distortion Tradeoff
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering +1
Most methods for publishing data with privacy guarantees introduce randomness into datasets which reduces the utility of the published data. In this paper, we study the privacy-uti…
Fixed-Length Strong Coordination Capacity
Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
This paper investigates the problem of synthesizing joint distributions in the finite-length regime. For a fixed blocklength and an upper bound on the distribution approximatio…
Quantifying Membership Privacy via Information Leakage
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering +1
Machine learning models are known to memorize the unique properties of individual data points in a training set. This memorization capability can be exploited by several types of a…
Secure Strong Coordination
Giulia Cervia, German Bassi, Mikael Skoglund
We consider a network of two nodes separated by a noisy channel, in which the source and its reconstruction have to be strongly coordinated, while simultaneously satisfying the str…
Remote Joint Strong Coordination and Reliable Communication
Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
We consider a three-node network, in which two agents wish to communicate over a noisy channel, while controlling the distribution observed by a third external agent. We use strong…
Fixed-Length Strong Coordination
Giulia Cervia, Tobias Oechtering, Mikael Skoglund
We consider the problem of synthesizing joint distributions of signals and actions over noisy channels in the finite-length regime. For a fixed blocklength and an upper bound o…