Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures


Machine-learning (ML) algorithms are increasingly utilized in privacy-sensitive applications such as predicting lifestyle choices, making medical diagnoses, and facial recognition. In a model inversion attack, recently introduced in a case study of linear classifiers in personalized medicine by Fredrikson et al., adversarial access to an ML model is abused… (More)
DOI: 10.1145/2810103.2813677


11 Figures and Tables


Citations per Year

84 Citations

Semantic Scholar estimates that this publication has 84 citations based on the available data.

See our FAQ for additional information.