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Found 6 papers, 1 papers with code
AudioFool: Fast, Universal and synchronization-free Cross-Domain Attack on Speech Recognition
Automatic Speech Recognition systems have been shown to be vulnerable to adversarial attacks that manipulate the command executed on the device.
Mixed-Precision Neural Networks: A Survey
Mixed-precision Deep Neural Networks achieve the energy efficiency and throughput needed for hardware deployment, particularly when the resources are limited, without sacrificing accuracy.
DT2CAM: A Decision Tree to Content Addressable Memory Framework
Decision trees are considered one of the most powerful tools for data classification.
Resistive Neural Hardware Accelerators
The review covers different aspects of hardware and software realization of DNN accelerators, their present limitations, and future prospectives.
An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN
A photoplethysmography (PPG) is an uncomplicated and inexpensive optical technique widely used in the healthcare domain to extract valuable health-related information, e. g., heart rate variability, blood pressure, and respiration rate.
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks
Recent breakthroughs in neuromorphic computing show that local forms of gradient descent learning are compatible with Spiking Neural Networks (SNNs) and synaptic plasticity.
