Showing cs.CRShow all
2 papers · 1 filter
cs.CR2026
Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers
Daniel M. Jimenez-Gutierrez, Dario Pighin, Enrique Zuazua +4
Federated Learning (FL) enables collaborative model training among multiple parties without centralizing raw data. There are two main paradigms in FL: Horizontal FL (HFL), where al…
cs.CR2025
Federated Cyber Defense: Privacy-Preserving Ransomware Detection Across Distributed Systems
Daniel M. Jimenez-Gutierrez, Enrique Zuazua, Joaquin Del Rio +2
Detecting malware, especially ransomware, is essential to securing today's interconnected ecosystems, including cloud storage, enterprise file-sharing, and database services. Train…