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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

multi-sensor classification

biblio

Visible to the public A game-theoretic defense against data poisoning attacks in distributed support vector machines

Submitted by grigby1 on Fri, 07/06/2018 - 2:05pm
  • Resiliency
  • machine learning
  • multi-sensor classification
  • Nash Equilibrium
  • networked systems
  • pattern classification
  • prediction tasks
  • pubcrawl
  • resilience
  • learning algorithms
  • resilient DSVM algorithm
  • Scalability
  • secure DSVM algorithm
  • sensor fusion
  • sensors
  • Support vector machines
  • Training
  • DSVMs
  • Algorithm design and analysis
  • Computer crime
  • control units
  • data poisoning attacks
  • defense strategies
  • distributed algorithms
  • distributed support vector machines
  • DSVM learner
  • AI Poisoning
  • dynamic distributed algorithms
  • game theory
  • game-theoretic defense
  • game-theoretic framework
  • Games
  • Human behavior
  • learning (artificial intelligence)

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