10 citations · 28 across the 6 of their papers we have counts for
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cs.CR2020★ 10 cited
Privacy-Preserving XGBoost Inference
Xianrui Meng, Joan Feigenbaum
Although machine learning (ML) is widely used for predictive tasks, there are important scenarios in which ML cannot be used or at least cannot achieve its full potential. A major…
cs.LG2020★ 8 cited
SAPAG: A Self-Adaptive Privacy Attack From Gradients
Yijue Wang, Jieren Deng, Dan Guo +5
Distributed learning such as federated learning or collaborative learning enables model training on decentralized data from users and only collects local gradients, where data is p…