Apostol Vassilev

Sarus: Privacy-Preserving Multi-Vendor Perception Fusion via Homomorphic Encryption

Experiments show that Sarus improves scene-level coverage by effectively aggregating complementary detections, particularly in distance-dependent regimes where individual modalities degrade, and indicate that privacy-preserving multi-vendor perception fusion is feasible for real-time deployment when statistical compression and spatial sparsity are jointly exploited.