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Speech privacy-preserving methods using secret key for convolutional neural network models and their robustness evaluation

Autor: Niwa, Shoko, Shiota, Sayaka, Kiya, Hitoshi

In this paper, we propose privacy-preserving methods with a secret key for convolutional neural network (CNN)-based models in speech processing tasks. In environments where untrusted third parties, like cloud servers, provide CNN-based systems, ensur

Externí odkaz: http://arxiv.org/abs/2408.03897

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A privacy-preserving method using secret key for convolutional neural network-based speech classification

Autor: Niwa, Shoko, Shiota, Sayaka, Kiya, Hitoshi

In this paper, we propose a privacy-preserving method with a secret key for convolutional neural network (CNN)-based speech classification tasks. Recently, many methods related to privacy preservation have been developed in image classification resea

Externí odkaz: http://arxiv.org/abs/2310.04035

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A Detection Method of Temporally Operated Videos Using Robust Hashing

Autor: Niwa, Shoko, Tanaka, Miki, Kiya, Hitoshi

SNS providers are known to carry out the recompression and resizing of uploaded videos/images, but most conventional methods for detecting tampered videos/images are not robust enough against such operations. In addition, videos are temporally operat

Externí odkaz: http://arxiv.org/abs/2208.05198

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