The rise of machine learning presents both challenges and opportunities for data anonymization. On one hand, machine learning models can potentially de-anonymize data more efficiently than traditional methods. On the other, new machine learning techniques are being developed to enhance anonymization processes, offering more sophisticated ways to protect privacy while maintaining data utility.
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