R. Polishetty

Adversarial Machine Unlearning for Privacy-Preserving Threat Intelligence Sharing

A novel framework for adversarial machine unlearning is introduced to enable privacy-preserving threat intelligence sharing and lays the foundation for secure and compliant knowledge transfer in federated security operations and collaborative defence ecosystems.