New observational auditing framework takes aim at machine learning privacy leaks
Machine learning (ML) privacy concerns continue to surface, as audits show that models can reveal parts of the labels (the user’s choice, expressed preference, or the result of an action) used during training. A new research paper explores a different … Continue reading New observational auditing framework takes aim at machine learning privacy leaks