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值得研究的项目 #1

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wanghaisheng opened this issue Jan 30, 2015 · 5 comments
Open

值得研究的项目 #1

wanghaisheng opened this issue Jan 30, 2015 · 5 comments

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@wanghaisheng
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https://github.com/giagiannis/anonymity
里面有多种算法 还有介绍将算法改造成适合分布式场景的部分
https://github.com/giagiannis/distributed-freeform-anonymity
@wanghaisheng
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https://github.com/qiyuangong
这位学长应该是在隐私保护这个领域深耕的一位 相关的项目大量 值得深入了解

@wanghaisheng
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https://github.com/arx-deidentifier/arx 配有图形化界面 K 、L 、T匿名都全了
This project aims at providing a comprehensive, open source anonymization framework for sensitive personal data. It is able to alter the data in a way that guarantees minimal information loss while making sure that the transformed data adheres to well-known privacy criteria, such as k-anonymity, l-diversity, t-closeness or δ-presence

@wanghaisheng wanghaisheng mentioned this issue Feb 9, 2015
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@wanghaisheng
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http://healthcaresecprivacy.blogspot.com/2015/04/nist-seeks-comments-on-de-identification.html
nist发布的NIST IR 8053
DRAFT De-Identification of Personally Identifiable Information

@wanghaisheng
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https://github.com/emodeen/healthcare-dashboard-angular

@wanghaisheng
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https://beta.dataverse.org/custom/DifferentialPrivacyPrototype/
提交原始数据集 匿名化后再发布出来的原型

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@wanghaisheng