Hybrid encryption protects federated updates in Medical-MNIST test
A Paillier-CKKS framework encrypted federated-learning updates and reached 94.67% average accuracy on Medical-MNIST during simulated reverse-engineering attacks.
A Paillier-CKKS framework encrypted federated-learning updates and reached 94.67% average accuracy on Medical-MNIST during simulated reverse-engineering attacks.
A new systematic survey maps the full landscape of privacy attacks on deep learning and finds that while differential privacy ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine