SAFE-DNN: A Deep Neural Network with Spike Assisted Feature Extraction for Noise Robust Inference

Sep 25, 2019 Blind Submission readers: everyone Show Bibtex
  • TL;DR: A noise robust deep learning architecture.
  • Abstract: We present a Deep Neural Network with Spike Assisted Feature Extraction (SAFE-DNN) to improve robustness of classification under stochastic perturbation of inputs. The proposed network augments a DNN with unsupervised learning of low-level features using spiking neuron network (SNN) with Spike-Time-Dependent-Plasticity (STDP). The complete network learns to ignore local perturbation while performing global feature detection and classification. The experimental results on CIFAR-10 and ImageNet subset demonstrate improved noise robustness for multiple DNN architectures without sacrificing accuracy on clean images.
  • Keywords: Noise robust, deep learning, DNN, image classification
  • Original Pdf:  pdf
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