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Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation (2023)
Journal Article
Wang, F., Xie, M., Tan, Z., Li, Q., & Wang, C. (2024). Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation. IEEE Transactions on Emerging Topics in Computing, 12(1), 307 - 315. https://doi.org/10.1109/TETC.2023.3244174

In the era of big data, deep learning techniques provide intelligent solutions for various problems in real-life scenarios. However, deep neural networks depend on large-scale datasets including sensitive data, which causes the potential risk of priv... Read More about Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation.