Up to 44% of radiology report sentences were exactly reconstructed from federated-learning gradients in this worst-case attack, with the RadBERT tokenizer leaking the most—but the paper's own re-run did not reproduce the numbers.
ACM Trans Intell Syst Technol 2023 Dec 31;14(6):1–32
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Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks
Up to 44% of radiology report sentences were exactly reconstructed from federated-learning gradients in this worst-case attack, with the RadBERT tokenizer leaking the most—but the paper's own re-run did not reproduce the numbers.