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News/Random Erasing vs. Model Inversion: A Promising Defense or a False Hope?
arxiv
PublishedJune 16, 2026 at 4:00 AM

Random Erasing vs. Model Inversion: A Promising Defense or a False Hope?

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arXiv:2409.01062v5 Announce Type: replace Abstract: Model Inversion (MI) attacks pose a significant privacy threat by reconstructing private training data from machine learning models. While existing defenses primarily concentrate on model-centric approaches, the impact of data on MI robustness rema

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