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High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence.

Laurent AmsalegJames BaileyAmélie BarbeSarah M. ErfaniTeddy FuronMichael E. HouleMilos RadovanovicXuan Vinh Nguyen
Published in: IEEE Trans. Inf. Forensics Secur. (2021)
Keyphrases
  • intrinsic dimensionality
  • vector space
  • dimensionality reduction
  • noisy data
  • probability density
  • unsupervised learning
  • machine learning
  • high dimensional
  • feature points
  • parameter estimation
  • outlier detection