CuraSec

tag: Privacy-Preserving-Ml · 1 items

Learn archived Federated Learning Privacy via Homomorphic Encryption & Differential Privacy
2026-07-13 · arXiv cs.CR · source ↗ #federated-learning#privacy-preserving-ml#homomorphic-encryption
  • Engineer — Learn: Academic architecture study combining homomorphic encryption and differential privacy for FL systems; no vulnerabilities or patches, but relevant for engineers designing privacy-preserving ML pipelines in healthcare or finance contexts.
  • SOC/IR — Skip
  • Leader — Learn: Research validates that FL with strong privacy controls can meet accuracy requirements in sensitive domains; useful background for evaluating AI/ML vendor privacy claims or shaping internal AI data-handling policy.