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Side channel attacks on STTRAM and low-overhead countermeasures.

, , , and . DFT, page 141-146. IEEE Computer Society, (2016)

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DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization., and . IEEE Trans. Neural Networks Learn. Syst., 34 (6): 3174-3182 (June 2023)Side channel attacks on STTRAM and low-overhead countermeasures., , , and . DFT, page 141-146. IEEE Computer Society, (2016)Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations., , , and . ECCV (29), volume 12374 of Lecture Notes in Computer Science, page 399-414. Springer, (2020)Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning., , and . ECCV (11), volume 13671 of Lecture Notes in Computer Science, page 709-726. Springer, (2022)Data privacy in non-volatile cache: Challenges, attack models and solutions., , , and . ASP-DAC, page 348-353. IEEE, (2016)IMPULSE: A 65nm Digital Compute-in-Memory Macro with Fused Weights and Membrane Potential for Spike-based Sequential Learning Tasks., , , , , and . CoRR, (2021)Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation., , , and . ICLR, OpenReview.net, (2020)Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives., , , , and . DATE, page 902-907. IEEE, (2021)Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach., , , , , , , , , and . ICONS, page 14:1-14:8. ACM, (2021)Efficiency attacks on spiking neural networks., , , , and . DAC, page 373-378. ACM, (2022)