Andreas Athanasiou

Orcid: 0009-0000-3251-2148

According to our database1, Andreas Athanasiou authored at least 9 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Protection against Source Inference Attacks in Federated Learning.
CoRR, March, 2026

Metric-privacy-inspired noise calibration in federated learning: Improving convergence and preventing client inference attacks.
Knowl. Based Syst., 2026

Optimizing Differential Privacy in Federated Analytics under Known Input Distributions.
IACR Cryptol. ePrint Arch., 2026

2025
Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks.
CoRR, February, 2025

Advanced Probabilistic Methods for Privacy Amplification : Cooperative and Non-Cooperative Approaches. (Méthodes Probabilistes Avancées pour l'Amplification de la Confidentialité : Approches Coopératives et Non Coopératives).
PhD thesis, 2025

Enhancing Metric Privacy With a Shuffler.
Proc. Priv. Enhancing Technol., 2025

Self-Defense: Optimal QIF Solutions and Application to Website Fingerprinting.
Proceedings of the 38th IEEE Computer Security Foundations Symposium, 2025

2024
Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling.
CoRR, 2024

Poster: Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024


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