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What is Data re-identification?

Data re-identification is the process of reversing data anonymization techniques to identify individuals within a dataset. It poses privacy risks, as previously de-identified data can be matched with external sources to reveal sensitive personal information. This issue is addressed by privacy regulations such as GDPR, which impose strict penalties for unauthorized re-identification.

Data Security Law of the People's Republic of China
The Data Security Law of the People's Republic of China is a regulatory framework that governs the storage, processing, and transfer of data within China. It imposes strict compliance requirements on data localization, cybersecurity, and cross-border transfers, ensuring national security and sovereignty over data-related activities.
Synthetic Data
Synthetic data refers to artificially generated data that mimics real-world data while preserving privacy and security. It is used in AI training, testing environments, and data augmentation to enhance model performance.
Efficiently updatable neural network
An efficiently updatable neural network is a machine learning model designed to adapt and learn new data without full retraining. This capability enhances AI applications in areas such as fraud detection, recommendation systems, and real-time analytics by improving efficiency and reducing computational costs.

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