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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

deep federated defenses

biblio

Visible to the public Towards Deep Federated Defenses Against Malware in Cloud Ecosystems

Submitted by grigby1 on Fri, 12/11/2020 - 2:33pm
  • neural nets
  • machine learning
  • machine learning models
  • malware
  • Malware Analysis
  • malware containment
  • malware detection
  • Malware-Detection-Cloud-Computing-Graph-Neural-Networks-Federated-Learning-Multicloud-Natural-Language-Processing
  • Metrics
  • learning (artificial intelligence)
  • privacy
  • Privacy Requirements
  • pubcrawl
  • resilience
  • Resiliency
  • Task Analysis
  • Training
  • virtual machines
  • feature representation
  • Biological system modeling
  • Bit error rate
  • Cloud Computing
  • cloud computing environments
  • cloud-specific optimization problems
  • data privacy
  • deep federated defenses
  • feature extraction
  • attentional sequence models
  • federated learning
  • graph neural networks
  • graph theory
  • Human behavior
  • hypergraph learning models
  • inductive graph
  • invasive software

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