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MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption.

, , , and . CoRR, (2023)

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Achieving Certified Robustness for Brain-Inspired Low-Dimensional Computing Classifiers., , , and . INFOCOM Workshops, page 1-6. IEEE, (2023)Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces., , , and . CoRR, (2024)MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption., , , and . CoRR, (2023)VertexSerum: Poisoning Graph Neural Networks for Link Inference., , , and . ICCV, page 4509-4518. IEEE, (2023)MirrorNet: A TEE-Friendly Framework for Secure On-Device DNN Inference., , , , and . ICCAD, page 1-9. IEEE, (2023)MicroVSA: An Ultra-Lightweight Vector Symbolic Architecture-based Classifier Library for Always-On Inference on Tiny Microcontrollers., , , and . ASPLOS (2), page 730-745. ACM, (2024)RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference., , , , , , , , , and 4 other author(s). CoRR, (2023)NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering., , , , and . FCCM, page 1-9. IEEE, (2022)LeHDC: learning-based hyperdimensional computing classifier., , , and . DAC, page 1111-1116. ACM, (2022)AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization., , , , , , , , and . MICRO, page 628-640. ACM, (2023)