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AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization.

, , , , , , , , and . MICRO, page 628-640. ACM, (2023)

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RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference., , , , , , , , , and 4 other author(s). CoRR, (2023)AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization., , , , , , , , and . MICRO, page 628-640. ACM, (2023)NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering., , , , and . FCCM, page 1-9. IEEE, (2022)Highly-efficient parallel convolution acceleration by using multiple GPUs., , , , and . ISOCC, page 300-301. IEEE, (2017)An Integrity Checking Framework for AXI Protocol in Multi-tenant FPGA., , , and . FPGA, page 155. ACM, (2022)SGX-FPGA: Trusted Execution Environment for CPU-FPGA Heterogeneous Architecture., , , and . DAC, page 301-306. IEEE, (2021)DeepStrike: Remotely-Guided Fault Injection Attacks on DNN Accelerator in Cloud-FPGA., , , and . DAC, page 295-300. IEEE, (2021)A Cautionary Note on Building Multi-tenant Cloud-FPGA as a Secure Infrastructure., , , and . FPT, page 1-6. IEEE, (2022)SPECIAL: Synopsis Assisted Secure Collaborative Analytics., , , and . CoRR, (2024)Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA., , , and . CoRR, (2020)