HEbdMIA: Lightweight Logit Encryption for Membership Inference Defense
HEbdMIA is a lightweight homomorphic encryption-based defense that operates at the post-inference stage by encrypting model output logits without requiring retraining or architectural modifications, indicating that HEbdMIA provides an effective, scalable, and deployment-friendly solution for enhancing privacy in real-world machine learning systems.