Poster: Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling. - Andreas Athanasiou; Kangsoo Jung; Catuscia Palamidessi (CCS, 2024)

Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling. - Andreas Athanasiou; Kangsoo Jung; Catuscia Palamidessi (CoRR, 2024)

Self-Defense: Optimal QIF Solutions and Application to Website Fingerprinting. - Andreas Athanasiou; Konstantinos Chatzikokolakis 001; Catuscia Palamidessi (CoRR, 2024)

Enhancing Metric Privacy With a Shuffler. - Andreas Athanasiou; Konstantinos Chatzikokolakis 001; Catuscia Palamidessi (Proc. Priv. Enhancing Technol., 2025)

Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks. - Judith Sáinz-Pardo Díaz; Andreas Athanasiou; Kangsoo Jung; Catuscia Palamidessi; Álvaro López García (CoRR, 2025)