Feb 11, 2021 · We present a framework that treats these two desiderata jointly. Our framework is based on conformal prediction, a methodology that augments ...

Apr 28, 2022 · We introduce a method to produce differentially private prediction sets that contain the true response with a user-specified probability by ...

This work develops a method that takes any pre-trained predictive model and outputs differentially private prediction sets, and follows the general approach ...

Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset. - aangelopoulos/private_prediction_sets.

Mar 3, 2024 · We introduce a method to produce differentially private prediction sets that contain the true response with a user-specified probability by ...

We present a framework that treats these two desiderata jointly. Our framework is based on conformal prediction, a methodology that augments predictive models ...

It introduces a method to generate differentially private prediction sets with strict coverage guarantees while preserving privacy. The experiments demonstrate ...

Distribution-free uncertainty quantification techniques such as conformal prediction sets have emerged as an essential tool for rigorous statistical guarantees ...

We present a framework that treats these two desiderata jointly. Our framework is based on conformal prediction, a methodology that augments predictive models ...