Abstract: A global partitioning-based method for anonymizing a dataset of biometric data may include an anonymization computer program: (1) receiving a value k representing a number of records to hide a biometric datum among, a value t that represents a t-closeness parameter for a t-close distribution, a weight parameter, and a first number of features to retain for determining an attribute of interest; (2) receiving the attribute of interest; (3) calculating a distribution of the attribute of interest in a biometric dataset; (4) splitting the biometric dataset into a plurality of k-sized clusters that satisfy the t-close distribution; (5) anonymizing each biometric datum in the plurality of k-sized clusters using a weighted average of landmarks for the biometric datums in k-sized clusters using the weight parameter; (6) adding each anonymized biometric datum into an anonymized biometric dataset; and (7) persisting the anonymized biometric dataset.

Abstract: Systems and methods for concealing uninterested attributes in multi-attribute data using generative adversarial networks are disclosed.

Abstract: Systems and methods for automatic redaction of sensitive information from video streams are disclosed. According to one embodiment, a method for automatic redaction of sensitive information from video streams may include: (1) receiving, by an image processing computer program executed by an electronic device, a video stream of an area; (2) identifying, by the image processing computer program, an object capable of having sensitive information thereon in the video stream of the area; and (3) redacting or obscuring, by the image processing computer program, the object in the video stream.

Abstract: A method for dynamic detection and presentation of obscured real-world objects in augmented or mixed reality virtual content may include an object of interest computer program executed by an electronic device: (1) receiving data for a virtual or augmented reality object to display on an image of a physical environment on a display of the electronic device; (2) receiving data for a physical object in the physical environment; (3) determining that the physical object is obscured by the virtual or augmented reality object; (4) generating a representation of the physical object; and (5) providing the representation of the physical object to a virtual reality or augmented reality computer program executed by the electronic device, wherein the virtual reality or augmented reality computer program is configured to display the physical object over the virtual or augmented reality object.

Abstract: A global partitioning-based method for anonymizing a dataset of biometric data may include an anonymization computer program: (1) receiving a value k representing a number of records to hide a biometric datum among, a value t that represents a t-closeness parameter for a t-close distribution, a weight parameter, and a first number of features to retain for determining an attribute of interest; (2) receiving the attribute of interest; (3) calculating a distribution of the attribute of interest in a biometric dataset; (4) splitting the biometric dataset into a plurality of k-sized clusters that satisfy the t-close distribution; (5) anonymizing each biometric datum in the plurality of k-sized clusters using a weighted average of landmarks for the biometric datums in k-sized clusters using the weight parameter; (6) adding each anonymized biometric datum into an anonymized biometric dataset; and (7) persisting the anonymized biometric dataset.