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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

TensorClog poisoning technique

biblio

Visible to the public TensorClog: An Imperceptible Poisoning Attack on Deep Neural Network Applications

Submitted by grigby1 on Wed, 11/04/2020 - 2:12pm
  • resilience
  • neural nets
  • Neural networks
  • Perturbation methods
  • poisoning attack
  • privacy
  • privacy protection purpose
  • pubcrawl
  • real-world application
  • lower inference accuracy
  • Resiliency
  • Scalability
  • security of data
  • TensorClog poisoning technique
  • test error
  • Training
  • user data
  • user privacy violations
  • deep neural network applications
  • adversarial attack
  • AI Poisoning
  • CIFAR-10 dataset results
  • converged training loss
  • data converges
  • data privacy
  • data results
  • deep learning
  • abusive data collection
  • deep neural networks
  • different limited information attack scenarios
  • feature extraction
  • Human behavior
  • imperceptible poisoning attack
  • internet
  • Internet application providers
  • learning (artificial intelligence)

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