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As a key AI technology, machine learning aims to learn from data to predict and decide on real-world events. In the big data era, large-scale data collection has greatly improved machine learning algorithms’ performance, achieving economic and social benefits. But it also poses greater privacy-protection risks and challenges.

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Privacy Protection in Machine Learning

  • 章节

  • 发表日期：

    2026年

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  • Xiaofeng Meng

摘要

As a key AI technology, machine learning aims to learn from data to predict and decide on real-world events. In the big data era, large-scale data collection has greatly improved machine learning algorithms’ performance, achieving economic and social benefits. But it also poses greater privacy-protection risks and challenges.