Can I read Continual Learning with Differential Privacy on EtoBox?

Continual Learning with Differential Privacy by Pradnya Desai; Phung Lai; NhatHai Phan; My T. Thai is a book available to read on EtoBox.

What is Continual Learning with Differential Privacy about?

In this paper, we focus on preserving differential privacy (DP) in continual learning (CL), in which we train ML models to learn a sequence of new tasks while memorizing previous tasks. We first introduce a notion of continual adjacent databases to bound the sensitivity of any data record participating in the training process of CL. Based upon that, we develop a new DP-preserving algorithm for CL with a data sampling strategy to quantify the privacy risk of training data in the well-known Averaged Gradient Episodic Memory (A-GEM) approach by applying a moments accountant. Our algorithm provides formal guarantees of privacy for data records across tasks in CL. Preliminary theoretical analysis and evaluations show that our mechanism tightens the privacy loss while maintaining a promising model utility.

Author

Pradnya Desai; Phung Lai; NhatHai Phan; My T. Thai

Publisher

Springer International Publishing : Imprint: Springer

Published

2021

Language

EN

ISBN

9783030922696

Subjects

Computer Science, Engineering, Mathematics