TWC: Small: Imparting Privacy to Biometric Data in Cyberspace

最近的工作已经确立了从生物统计数据中获取辅助信息的可能性。例如，已经表明，面部图像可以用于推断主体的健康、性别、年龄和种族;此外，面部图像已经用于将网络中的匿名简档与真实简档联系起来，从而损害个人的隐私。这项工作的目的是设计和实施技术，赋予隐私的生物特征数据，如面部，指纹和虹膜图像。在这方面，正在进行以下任务：（a）修改生物统计数据的方法，使修改后的数据可用于重新识别个人，但不能用于导出关于主体的辅助信息，如性别和年龄;（B）从同一生物统计数据生成多个隐私增强模板的方法，使这些模板不能使用生物统计匹配器链接;以及（c）用于跨实体分解和存储受检者的生物测定数据的方法，使得各个实体不能确定受检者的身份，但是跨实体的协作对于引出受检者的身份是必要的。最后，正在制定评估生物特征图像隐私程度的方法，以量化可从中获得的隐私信息量，正在对公开的人脸、指纹和虹膜数据集评估拟议的方法，以确定其在网络空间应用中的功效。

Recent work has established the possibility of deriving auxiliary information from biometric data. For example, it has been shown that face images can be used to deduce the health, gender, age and race of a subject; further, face images have been used to link a pseudonymous profile in the Web with a true profile, thereby compromising the privacy of an individual. The objective of this work is to design and implement techniques for imparting privacy to biometric data such as face, fingerprint and iris images. In this regard, the following tasks are being conducted: (a) methods to modify biometric data such that the modified data can be used for re-identifying an individual but cannot be used to derive auxiliary information about the subject, such as gender and age; (b) methods to generate multiple privacy-enhanced templates from the same biometric data in such a way that these templates cannot be linked using a biometric matcher; and (c) methods to decompose and store the biometric data of a subject across entities such that individual entities cannot determine the identity of the subject, but collaboration across entities is essential for eliciting the identity of the subject. Finally, methods to assess the degree of privacy of a biometric image are being developed in order to quantify the amount of private information that can be derived from it. The proposed methods are being evaluated on publicly available face, fingerprint and iris datasets in order to determine their efficacy in the context of cyberspace applications.