What Your Model Threw Away and Why You'll Want It Back: Masking, Fingerprinting, and Privacy from Discarded Geometry
Zachary P. Bradshaw
cs.LG, cs.CR, math.RT, stat.ML
Submitted: 2026-06-17
Comments: 22 pages, 10 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
- Spherical CNNs
- Outlier Detection through Null Space Analysis of Neural Networks
- Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
- Federated Learning: Opportunities and Challenges
- Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
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