A TEE-based on-device inference system that selects a small set of critical tensors and intermediate features to shield, matching the security of full-model shielding with up to 25.35x lower latency.
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TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE
A TEE-based on-device inference system that selects a small set of critical tensors and intermediate features to shield, matching the security of full-model shielding with up to 25.35x lower latency.