A hybrid continuous-discrete optimization attack, Grab, recovers up to 92.9% of private training text from gradients in federated learning of masked language models under practical settings.
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Uncovering Gradient Inversion Risks in Practical Language Model Training
A hybrid continuous-discrete optimization attack, Grab, recovers up to 92.9% of private training text from gradients in federated learning of masked language models under practical settings.