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Updated: Jun 21, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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美国-英国 PETs 奖项挑战:通过隐私增强联合学习检测异常

Hafiz Asif1, Sitao Min2, Xinyue Wang2

  • 1Information Systems and Business Analytics Department, Hofstra University, Hempstead, NY 11549 USA.

IEEE transactions on privacy
|July 9, 2024
PubMed
概括

罗格斯大学ScarletPets使用保护隐私的联合学习来检测金融交易中的异常. 这种方法保持了高准确度,同时保护了敏感数据,为预防金融犯罪提供了灵活的解决方案.

关键词:
异常检测检测异常检测不同的隐私差异 隐私差异联合学习的联合学习金融犯罪是金融犯罪.发现欺诈 发现欺诈支付网络系统的支付网络系统.

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Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
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