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MRIMA: An MRAM-Based In-Memory Accelerator., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (5): 1123-1136 (2020)Leveraging All-Spin Logic to Improve Hardware Security., , and . ACM Great Lakes Symposium on VLSI, page 491-494. ACM, (2017)Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA., , , and . CoRR, (2020)Ultra low power associative computing with spin neurons and resistive crossbar memory., , and . DAC, page 107:1-107:6. ACM, (2013)Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack., , and . CoRR, (2018)Processing-In-Memory Acceleration of Convolutional Neural Networks for Energy-Efficiency, and Power-Intermittency Resilience., , , and . CoRR, (2019)Accelerating Bulk Bit-Wise X(N)OR Operation in Processing-in-DRAM Platform., and . CoRR, (2019)Optimize Deep Convolutional Neural Network with Ternarized Weights and High Accuracy., , and . WACV, page 913-921. IEEE, (2019)Beyond charge-based computation: Boolean and non-Boolean computing with spin torque devices., , , and . ISLPED, page 139-142. IEEE, (2013)Defend Deep Neural Networks Against Adversarial Examples via Fixed andDynamic Quantized Activation Functions., , , and . CoRR, (2018)