1.1k citations · 2.1k across the 73 of their papers we have counts for
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Self-Defense: Optimal QIF Solutions and Application to Website Fingerprinting
Andreas Athanasiou, Konstantinos Chatzikokolakis, Catuscia Palamidessi
Quantitative Information Flow (QIF) provides a robust information-theoretical framework for designing secure systems with minimal information leakage. While previous research has a…
Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling
Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi
Federated Learning (FL) enables clients to train a joint model without disclosing their local data. Instead, they share their local model updates with a central server that moderat…
Bayes' capacity as a measure for reconstruction attacks in federated learning
Sayan Biswas, Mark Dras, Pedro Faustini +4
Within the machine learning community, reconstruction attacks are a principal attack of concern and have been identified even in federated learning, which was designed with privacy…
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results
Karima Makhlouf, Tamara Stefanovic, Heber H. Arcolezi +1
Machine learning (ML) algorithms rely primarily on the availability of training data, and, depending on the domain, these data may include sensitive information about the data prov…