1 citations · 1 across the 4 of their papers we have counts for
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Federated Learning in the Wild: A Comparative Study for Cybersecurity under Non-IID and Unbalanced Settings
Roberto Doriguzzi-Corin, Petr Sabel, Silvio Cretti +1
Machine Learning (ML) techniques have shown strong potential for network traffic analysis; however, their effectiveness depends on access to representative, up-to-date datasets, wh…
Adaptive Federated Learning with Functional Encryption: A Comparison of Classical and Quantum-safe Options
Enrico Sorbera, Federica Zanetti, Giacomo Brandi +3
Federated Learning (FL) is a collaborative method for training machine learning models while preserving the confidentiality of the participants' training data. Nevertheless, FL is…
On Cryptographic Mechanisms for the Selective Disclosure of Verifiable Credentials
Andrea Flamini, Giada Sciarretta, Mario Scuro +3
Verifiable credentials are a digital analogue of physical credentials. Their authenticity and integrity are protected by means of cryptographic techniques, and they can be presente…