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PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels.

Homa EsfahanizadehAdam YalaRafael G. L. D'OliveiraAndrea J. D. JabaVictor QuachKen R. DuffyTommi S. JaakkolaVinod VaikuntanathanManya GhobadiRegina BarzilayMuriel Médard
Published in: CoRR (2023)
Keyphrases
  • weakly labeled
  • probabilistic model
  • training data
  • training set
  • benchmark datasets
  • class labels
  • experimental results on real world
  • multi label
  • privacy preservation
  • synthetic and real datasets