David Erb

Lumberjack's heavy hitter detection algorithm lets you prune differentially private random forests with less accuracy loss, finally making them practical for sensitive tabular data.

Despite theoretical guarantees, widely-used differential privacy libraries harbor subtle bugs that can be exposed by a new gray-box auditing technique.