Transferable Unlearnable Examples

Understand

With more people publishing their personal data online, unauthorized data usage has become a serious concern.

• The unlearnable strategies have been introduced to prevent third parties from training on the data without permission.
• They add perturbations to the users' data before publishing, which aims to make the models trained on the perturbed published dataset invalidated.
• These perturbations have been generated for a specific training setting and a target dataset.