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Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks.
Alberto Marchisio
Giorgio Nanfa
Faiq Khalid
Muhammad Abdullah Hanif
Maurizio Martina
Muhammad Shafique
Published in:
IJCNN (2020)
Keyphrases
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feed forward
neural network
spiking neural networks
security vulnerabilities
bio inspired
learning rules
spiking neurons
back propagation
biologically inspired
security properties
artificial neural networks
spike trains
unauthorized access
hodgkin huxley
intrusion detection