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R. Polishetty

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Open access Aug 2026

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.

R. Polishetty, Arfi Siddik Mollashaik, Naveen Jagadam et al. · 0 citations