1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Synthetic Data Privacy Metrics
Amy Steier, Lipika Ramaswamy, Andre Manoel +1
Recent advancements in generative AI have made it possible to create synthetic datasets that can be as accurate as real-world data for training AI models, powering statistical insi…
cs.CL2024★ 1 cited
Controllable Synthetic Clinical Note Generation with Privacy Guarantees
Tal Baumel, Andre Manoel, Daniel Jones +5
In the field of machine learning, domain-specific annotated data is an invaluable resource for training effective models. However, in the medical domain, this data often includes P…