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 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 »
The `new class variable column from predict logistic regression in r` refers to the process of creating a new column in a dataset that contains the predicted class labels from a logistic... Read more »