David J. Crandall

Semantic Privacy Protection with Utility Preservation for 3D Point Clouds

Experiments on classification and segmentation benchmarks show that the proposed method achieves controllable semantic transformation, effectively reduces original-class semantic leakage, preserves downstream learnability in the protected domain, and supports reliable authorized reconstruction.