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Found 3 papers, 1 papers with code
SNNLP: Energy-Efficient Natural Language Processing Using Spiking Neural Networks
As spiking neural networks receive more attention, we look toward applications of this computing paradigm in fields other than computer vision and signal processing.
Attacking Deep Learning AI Hardware with Universal Adversarial Perturbation
Universal Adversarial Perturbations are image-agnostic and model-independent noise that when added with any image can mislead the trained Deep Convolutional Neural Networks into the wrong prediction.
Designing Efficient and High-performance AI Accelerators with Customized STT-MRAM
Compared to an SRAM-based implementation, the STT-AI accelerator achieves 75% area and 3% power savings at iso-accuracy.
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