Emerging technologies, such as differential privacy and homomorphic encryption, offer new ways to anonymize data while preserving its utility. Differential privacy, for example, adds noise to the data or queries on the data, providing strong privacy guarantees without significantly compromising data utility. Homomorphic encryption allows for computations on encrypted data, enabling analysis without exposing the underlying data. These technologies represent promising advancements in anonymization, but their effectiveness and scalability in real-world applications remain under evaluation.
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