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Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy.
Wenqiang Ruan
Mingxin Xu
Wenjing Fang
Li Wang
Lei Wang
Weili Han
Published in:
SP (2023)
Keyphrases
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privacy preserving
multi party
differential privacy
private data
database
domain independent
information retrieval
active learning
probabilistic model
private information