System and method for differentially private pool-based active learning

A computer system for facilitating data classification, the computer system comprising:

• a processor;
• and
• a storage device storing instructions that when executed by the processor cause the processor to perform a method, the method comprising
• determining a version space associated with a set of data comprising a pool of unlabeled samples and a first plurality of labeled samples,
• wherein the version space includes a first set of classifiers corresponding to the first plurality of labeled samples;
• selecting, from the pool of unlabeled samples, a second plurality of unlabeled samples comprising informative samples and non-informative samples,
• wherein a respective informative sample corresponds to a first hyperplane which intersects the version space, and wherein a respective non-informative sample corresponds to a second hyperplane which does not intersect the version space;
• acquiring labels corresponding to the second plurality of unlabeled samples to obtain a third plurality of labeled samples;
• and
• updating the first set of classifiers based on the third plurality of labeled samples to obtain a second set of classifiers in the version space, thereby improving accuracy of the first set of classifiers.