Membership inference attacks (MIAs) are a type of privacy attack in which an adversary attempts to infer whether a given data point was used to train a machine learning model. MIAs can... Read more »
A membership inference attack on a logistic regression model exploits the relationship between the model’s parameters and the training data to infer whether a given data point was used to train the... Read more »
A membership inference attack on logistic regression is a type of attack where an adversary attempts to infer whether a given data point was used to train a logistic regression model. This... Read more »