PILLAR: How to make semi-private learning more effective

Francesco Pinto, Yaxi Hu, Fanny Yang +1

In Semi-Supervised Semi-Private (SP) learning, the learner has access to both public unlabelled and private labelled data. We propose a computationally efficient algorithm that, un…