Yixiang Qiu*

A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks

"Model Inversion (MI) attacks aim to reconstruct privacy-sensitive training data from released models by utilizing output information, raising extensive concerns about the security of Deep Neural Networks (DNNs). Recent advances in generative adversarial networks (GANs) have contributed significantl…