2 papers
cs.CR2025
Efficient Full-Stack Private Federated Deep Learning with Post-Quantum Security
Yiwei Zhang, Rouzbeh Behnia, Attila A. Yavuz +2
Federated learning (FL) enables collaborative model training while preserving user data privacy by keeping data local. Despite these advantages, FL remains vulnerable to privacy at…
cs.CR2024
ZT-SDN: An ML-powered Zero-Trust Architecture for Software-Defined Networks
Charalampos Katsis, Elisa Bertino
Zero Trust (ZT) is a security paradigm aiming to curtail an attacker's lateral movements within a network by implementing least-privilege and per-request access control policies. H…