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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

Medical Informatics

biblio

Visible to the public Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare

Submitted by grigby1 on Fri, 07/06/2018 - 2:06pm
  • Resiliency
  • malware
  • medical computing
  • Medical Informatics
  • models
  • Neoplasms
  • patient distress
  • pattern classification
  • poisoning attacks
  • pubcrawl
  • resilience
  • malicious data
  • Scalability
  • security
  • security breach
  • security of data
  • systematic poisoning attacks
  • targeted errors
  • Theoretical
  • Training
  • training datasets
  • health care
  • Algorithms
  • application domains
  • arbitrary errors
  • biomedicine
  • computer security
  • critical decisions
  • Databases
  • Factual
  • false diagnosis prompt users
  • false positive classification
  • AI Poisoning
  • health-related applications
  • Healthcare
  • Human behavior
  • Humans
  • learning (artificial intelligence)
  • life-threatening consequences
  • machine learning
  • machine learning algorithms
  • machine-learning algorithms

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