Nov 10, 2020 · In this work, we study whether a non-private learning algorithm can be made private by relying on an instance-encoding mechanism that modifies ...

1) Privacy Definitions for Instance Encoding. Private learning through instance encoding. We now de- fine a minimal privacy notion for (encoding-based) learning.

Duration: 15:09
Posted: May 27, 2021

In this work, we study whether a non-private learning algorithm can be made private by relying on an instance-encoding mechanism that modifies the training ...

Is Private Learning Possible with Instance Encoding? Nicholas Carlini ... What is private learning? Goal: train a machine learning algorithm on a ...

To enable ML applications on privacy-sensitive data, instance encoding (Carlini et al. (2020) ; Figure 1) aims to encode data in a way such that it is possible ...

Duration: 1:04
Posted: May 2, 2021

We further formalize various privacy notions of learning through instance encoding and investigate the possibility of achieving these notions. We prove barriers ...

Explore the potential for private learning through instance encoding, examining its feasibility and implications for data privacy in machine learning.

Aug 4, 2024 · Privacy-preserving instance encoding methods like InstaHide aim to protect sensitive data during machine learning tasks.