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Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses

Fang, Hao et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Deep Neural Networks (DNNs) have revolutionized various domains with their exceptional performance across numerous applications. However, Model Inversion (MI) attacks, which disclose private information about the training dataset by abusing access to the trained models, have emerged as a formidable
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