去匿名化过程的抽象视图
An Abstract View on the De-anonymization Process
摘要：
近年来，包含个人但匿名信息的数据集的可用性一直在不断增加。广泛的研究表明，这类数据集很容易受到隐私泄露的影响：能够通过去匿名化方法泄露有关个人的敏感信息。在这里，我们提供了去匿名化研究的分类。
英文摘要：
Over the recent years, the availability of datasets containing personal, but anonymized information has been continuously increasing. Extensive research has revealed that such datasets are vulnerable to privacy breaches: being able to reveal sensitive information about individuals through deanonymization methods. Here, we provide a taxonomy of the research in de-anonymization.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
