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IBM AI Fundamentals: Uncover AI Training Data Misuse

Learn about membership inference attacks and how they can reveal if an individual’s data was used to train an AI model. Essential knowledge for the IBM Artificial Intelligence Fundamentals certification exam.

Table of Contents

Question

Troy is trying to determine if Dean’s information was used in the training data set for a predictive AI system.

Which of the following describes the kind of attack Troy would use?

A. Membership inference attack
B. Personal information attack
C. Group identity attack
D. Individual information attack

Answer

A. Membership inference attack

Explanation

Troy would use a membership inference attack to see if there was any data that would allow him to determine if Dean’s information was in the training data set.

The kind of attack Troy would use to determine if Dean’s information was used in the training data set for a predictive AI system is membership inference attack

A membership inference attack allows an adversary to query a trained machine learning model to predict whether or not a particular example was contained in the model’s training dataset1. This type of attack is specifically designed to breach privacy by revealing whether individual data points were used during the training of an AI model.

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