402 citations · 843 across the 16 of their papers we have counts for
Showing 2019Show all
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cs.CR2019
Linear and Range Counting under Metric-based Local Differential Privacy
Zhuolun Xiang, Bolin Ding, Xi He +1
Local differential privacy (LDP) enables private data sharing and analytics without the need for a trusted data collector. Error-optimal primitives (for, e.g., estimating means and…
cs.CR2019
Improving Utility and Security of the Shuffler-based Differential Privacy
Tianhao Wang, Bolin Ding, Min Xu +5
When collecting information, local differential privacy (LDP) alleviates privacy concerns of users because their private information is randomized before being sent it to the centr…
cs.LG2019★ 13 cited
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment
Cedric Renggli, Bojan Karlaš, Bolin Ding +4
Continuous integration is an indispensable step of modern software engineering practices to systematically manage the life cycles of system development. Developing a machine learni…