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MedBlindTuner: Towards Privacy-Preserving Fine-Tuning on Biomedical Images with Transformers and FuindTuner achieves comparable accuracy to models trained on non-encrypted images, offering a secure solution for outsourcing ML computations while preserving patient data privacy. To the best of our knowledge, this is the first work that uses data-efficient image transformers and fully homomorphic encryption in this domain.

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