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Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy.

Wenqiang RuanMingxin XuWenjing FangLi WangLei WangWeili Han
Published in: SP (2023)
Keyphrases
  • privacy preserving
  • multi party
  • differential privacy
  • private data
  • database
  • domain independent
  • information retrieval
  • active learning
  • probabilistic model
  • private information