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Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness.

, , , , , and . CoRR, (2019)

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Exploring a SOT-MRAM Based In-Memory Computing for Data Processing., , , , and . IEEE Trans. Multi Scale Comput. Syst., 4 (4): 676-685 (2018)Design and Evaluation of a Spintronic In-Memory Processing Platform for Nonvolatile Data Encryption., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 37 (9): 1788-1801 (2018)Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment., , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 13 (1): 332-343 (March 2023)Brain-inspired computing with spin torque devices., , , and . DATE, page 1-6. European Design and Automation Association, (2014)Developing All-Skyrmion Spiking Neural Network., and . CoRR, (2017)Computing with coupled Spin Torque Nano Oscillators., , , , and . ASP-DAC, page 312-317. IEEE, (2016)Low power in-memory computing platform with four Terminal magnetic Domain Wall Motion devices.. NANOARCH, page 153-158. ACM, (2016)Exploring Boolean and non-Boolean computing with spin torque devices., , , and . ICCAD, page 576-580. IEEE, (2013)DIMA: a depthwise CNN in-memory accelerator., , and . ICCAD, page 122. ACM, (2018)Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack., , and . CVPR, page 588-597. Computer Vision Foundation / IEEE, (2019)