Feb. 12, 2024, 5:43 a.m. | Teru Nagamori Sayaka Shiota Hitoshi Kiya

cs.LG updates on arXiv.org arxiv.org

We propose a novel method for privacy-preserving deep neural networks (DNNs) with the Vision Transformer (ViT). The method allows us not only to train models and test with visually protected images but to also avoid the performance degradation caused from the use of encrypted images, whereas conventional methods cannot avoid the influence of image encryption. A domain adaptation method is used to efficiently fine-tune ViT with encrypted images. In experiments, the method is demonstrated to outperform conventional methods in an …

cs.cv cs.lg domain domain adaptation fine-tuning images networks neural networks novel performance privacy test train transformer vision vit

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