Building robust neural networks under adversarial machine learning attacks by using biologically-inspired neurons.
Hosseinali GhiassiradFaezeh FarivarMahdi Aliyari ShoorehdeliMohammad Sayad HaghighiPublished in: Inf. Sci. (2023)
Keyphrases
- biologically inspired
- neural network
- spiking neural networks
- receptive fields
- learning rules
- machine learning
- neural models
- pattern recognition
- recurrent networks
- biologically plausible
- visual cortex
- artificial neural networks
- colour image segmentation
- synaptic weights
- activation function
- biological systems
- data mining
- humanoid robot
- genetic algorithm
- spiking neurons
- scene classification
- higher order
- spatio temporal
- computer vision
- potential field
- feed forward
- hidden layer
- support vector machine
- watermarking technique
- sensory inputs
- high dimensional
- learning algorithm
- visual attention model
- neural nets