A modular pipeline automatically applies model inversion attacks and uses vision-language models to score four privacy-loss dimensions, producing a weighted composite risk score for image classifiers.
An Attack-Based Evaluation Method for Differentially Private Learning Against Model Inversion Attack,
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An Automated, Scalable Machine Learning Model Inversion Assessment Pipeline
A modular pipeline automatically applies model inversion attacks and uses vision-language models to score four privacy-loss dimensions, producing a weighted composite risk score for image classifiers.