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AI for Domains (AID)

新闻与深度文章

A flow chart with four successive blocks. Starting with a data owner, private data is provisioned to train a language model with differential privacy. The language model is subsequently prompted to generate novel synthetic data resembling the private data. This data can be used for down-stream applications such as machine learning, feedback analysis or statistical analysis.
微软研究院博客

| Gbola Afonja, Robert Sim, Zinan Lin, Huseyin Atahan Inan, 和 Sergey Yekhanin

Synthetic data could potentially help ad…

Graphic shows framework of Privacy Preserving Machine Learning
微软研究院博客

| Victor Ruehle, Robert Sim, Sergey Yekhanin, Nishanth Chandran, Melissa Chase, Daniel Jones, Kim Laine, Boris Köpf, Jaime Teevan, Jim Kleewein, 和 Saravan Rajmohan

Machine learning (ML) offers tremendous …