CECILIA: Comprehensive Secure Machine Learning Framework

Documenti analoghi

• Private, Efficient and Scalable Kernel Learning for Medical Image Analysis
  di: Hannemann, Anika, et al.
  Pubblicazione: (2024)
• Privacy Preserving Data Imputation via Multi-party Computation for Medical Applications
  di: Jentsch, Julia, et al.
  Pubblicazione: (2024)
• PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies
  di: Swaminathan, Arjhun, et al.
  Pubblicazione: (2024)
• Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning
  di: Ünal, Ali Burak, et al.
  Pubblicazione: (2025)
• Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption
  di: Baykara, Cem Ata, et al.
  Pubblicazione: (2024)