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Sparse Mixture Once-for-all Adversarial Training for Efficient in-situ Trade-off between Accuracy and Robustness of DNNs.

Souvik KunduSairam SundaresanSharath Nittur SridharShunlin LuHan TangPeter A. Beerel
Published in: ICASSP (2023)
Keyphrases
  • training set
  • neural network
  • cost effective
  • data mining
  • mixture model
  • test set
  • sparse data
  • real time
  • high dimensional
  • hidden markov models