Microsoft Technology Licensing, LLC

Intel Corporation

Jaeyeon Jung

Ratul Mahajan

Zicheng Liu

Chun-Te Chu

Yu Zhu

Benjamin Livshits

Felix Stefan Domke

Matthai Philipose

Amar Phanishayee

Ryan James Fairfax

Trinabh Gupta

Rayman Preet Singh

Amar Panishayee

A method to record video with a video camera while respecting bystander privacy includes acquiring sensory data separate from the video, parsing the sensory data for evidence of a human being in a field of view of the video camera, and recording video with the video camera if no human being is detected in the field of view, based upon the sensory data.

Video capture with privacy safeguard

The disclosed technology is generally directed to a secure boot mechanism for a multi-core system. In some examples, multiple execution environments may be sequentially booted according to a chain of trust that corresponds to the defense-in-depth hierarchy. A first stage of the secure boot may be based on the hardware root of trust of the multi-core processor. Subsequent stages may be based upon the trust in the previous stages. In some examples, if any stage is determined to be compromised, then the secure boot ceases, and neither the stage determined to be compromised nor any subsequent stages are booted.

Secure boot for multi-core processor

A technique for multi-camera object tracking is disclosed that preserves privacy of imagery from each camera or group of cameras. This technique uses secure multi-party computation to compute a distance metric across data from multiple cameras without revealing any information to operators of the cameras except whether or not an object was observed by both cameras. This is achieved by a distance metric learning technique that reduces the computing complexity of secure computation while maintaining object identification accuracy.

Secure and private tracking across multiple cameras

Techniques and constructs to facilitate data management can provide improved response time and space efficiency for time-series data such as from connected devices. The constructs may enable receiving a stream of time-series data comprising a plurality of objects and a time identification associated with each of the objects. One or more tags are associated with the objects. The constructs may also chunk the stream into a plurality of contiguous chunks, each including a plurality of objects, create an index associating the time identification and the one or more tags, transmit the chunks to a first, remote storage, and then store the index.

Data management for connected devices

A system and method for tracking sensitive data uses dynamic taint analysis to track sensitive data as the data flows through a target application running on a computer system. In general, the system and method for tracking sensitive data marks data as tainted when the data input to the target application is indicated as sensitive. The system and method may then track the propagation of the tainted data as the data is read from and written to memory by the target application to detect if the tainted data is output from the application (e.g., leaked). Dynamic binary translation may be used to provide binary instrumentation of the target application for dynamic taint analysis to track propagation of the tainted data at the instruction level and/or the function level. Of course, many alternatives, variations, and modifications are possible without departing from this embodiment.

Sensitive data tracking using dynamic taint analysis

The subject disclosure is directed towards automated, static analysis-based program code processing that detects unprotected resource accesses by applications, that is, those that do not provide proper opt-in consent dialogs (prompts). In one aspect, consent prompt code is automatically inserted into the program code to protect such unprotected access points. Also described are program representation graph construction and processing, a dominator node-based approach to determine placement points for inserting consent prompt code, and a backward search-based approach for inserting consent prompt code.

Growing community of inventors

Kirkland, WA, United States of America

Jaeyeon Jung