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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

SNN

biblio

Visible to the public 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
biblio

Visible to the public NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips

Submitted by aekwall on Thu, 05/13/2021 - 11:32am
  • Hardware
  • Spiking Neural Networks
  • SNN
  • security
  • Resiliency
  • resilience
  • Reliability
  • pubcrawl
  • policy-based governance
  • Metrics
  • machine learning
  • Cross Layer Security
  • fault-injection attacks
  • DNN
  • deep neural networks
  • cyber physical systems
  • cross-layer
  • Biological system modeling
  • Biological neural networks
  • Artificial Neural Networks
  • adversarial attacks
biblio

Visible to the public Is Spiking Secure? A Comparative Study on the Security Vulnerabilities of Spiking and Deep Neural Networks

Submitted by aekwall on Tue, 04/27/2021 - 1:10pm
  • Biological neural networks
  • Spiking Neural Networks
  • SNN
  • adversarial examples
  • belief networks
  • Deep Neural Network
  • Perturbation methods
  • DNN
  • Vulnerability
  • attack
  • image recognition
  • security
  • resilience
  • Neural networks
  • Training
  • Neurons
  • Robustness
  • machine learning
  • pubcrawl
  • Resiliency
  • cyber-physical systems

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