70 citations · 82 across the 6 of their papers we have counts for
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cs.LG2023★ 2 cited
Effective and Efficient Federated Tree Learning on Hybrid Data
Qinbin Li, Chulin Xie, Xiaojun Xu +5
Federated learning has emerged as a promising distributed learning paradigm that facilitates collaborative learning among multiple parties without transferring raw data. However, m…
cs.LG2019
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms
Ruoxi Jia, David Dao, Boxin Wang +6
Given a data set containing millions of data points and a data consumer who is willing to pay for $ to train a machine learning (ML) model over , how…
cs.LG2017★ 70 cited
Exploring the Space of Black-box Attacks on Deep Neural Networks
Arjun Nitin Bhagoji, Warren He, Bo Li +1
Existing black-box attacks on deep neural networks (DNNs) so far have largely focused on transferability, where an adversarial instance generated for a locally trained model can "t…