How to Achieve Sensitive Data Unlearning for Machine Learning Models?
As machine learning is increasingly used in data analysis in cybersecurity, there is a risk of privacy disclosure to some extent if models inadvertently capture sensitive information from training data. Since training data will exist in the model parameters for a long time, it is possible to directly output training samples if some data with […]