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Efficient and Secure Deep Learning Inference System: A Software and Hardware Co-design Perspective.

. Arizona State University, Tempe, USA, (2020)base-search.net (ftarizonastateun:item:62825).

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PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks., , , and . ICCD, page 266-273. IEEE Computer Society, (2018)Accelerating Low Bit-Width Deep Convolution Neural Network in MRAM., , and . ISVLSI, page 533-538. IEEE Computer Society, (2018)ReRAM-Sharing: Fine-Grained Weight Sharing for ReRAM-Based Deep Neural Network Accelerator., , , , and . ISCAS, page 1-5. IEEE, (2021)Cross-layer Designs against Non-ideal Effects in ReRAM-based Processing-in-Memory System., , , , , and . ISQED, page 1-6. IEEE, (2022)SME: ReRAM-based Sparse-Multiplication-Engine to Squeeze-Out Bit Sparsity of Neural Network., , , , , , , , and . ICCD, page 417-424. IEEE, (2021)Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack., , and . CoRR, (2018)Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy., , and . WACV, page 913-921. IEEE, (2019)MRIMA: An MRAM-Based In-Memory Accelerator., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (5): 1123-1136 (2020)Efficient and Secure Deep Learning Inference System: A Software and Hardware Co-design Perspective.. Arizona State University, Tempe, USA, (2020)base-search.net (ftarizonastateun:item:62825).SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN., , , , , , and . ICML, OpenReview.net, (2024)