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Found 4 papers, 3 papers with code
A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge
In addition, compact and integratable hardware platforms which can implement ML models at the chip scale will find much broader application to wireless communication networks.
Universal Adversarial Attacks with Natural Triggers for Text Classification
Recent work has demonstrated the vulnerability of modern text classifiers to universal adversarial attacks, which are input-agnostic sequences of words added to text processed by classifiers.
Noise Analysis of Photonic Modulator Neurons
Here, we examine modulator-based photonic neuron circuits with passive and active transimpedance gains, with special attention to the sources of noise propagation.
Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)
Convolutional Neural Networks (CNNs) are powerful and highly ubiquitous tools for extracting features from large datasets for applications such as computer vision and natural language processing.
