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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Neuromorphic
biblio
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
Submitted by aekwall on Mon, 01/31/2022 - 4:13pm
analysis
White Box Security
Threshold voltage
structural engineering
Spiking Neural Networks
SNN
Problem-solving
parameters
Neuromorphic
Firing
security
adversarial attacks
composability
Resiliency
Metrics
pubcrawl
optimization
machine learning
deep learning
Robustness
file
Ionic Liquid and Amorphous Metal-Oxide Semiconductor Interactions Towards a New Programmable Neuromorphic Platform
Submitted by Philip Brisk on Thu, 01/16/2020 - 3:28pm. Contributors:
Philip Brisk
Walker Boldman
Philip Rack
Electrowetting
programmability
Neuromorphic
Posters
1545097
1544686
CPS PI Meeting 2019
2019
NSF
U.S. Government
Poster
