Why Do Unlearnable Examples Work: A Novel Perspective of Mutual Information

Researchers propose a new method called Mutual Information Unlearnable Examples (MI-UE) to protect data privacy by preventing unauthorized AI models from learning from scraped data. The approach uses mutual information theory to create more effective data poisoning techniques that impede deep learning model generalization.