Model inversion attack

A model inversion attack is a privacy attack that uses a model's outputs to reconstruct sensitive information about its training data, such as recovering features of individuals it learned from.

Model inversion attack sits in the Evaluation & safety part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.