Microsoft Technology Licensing, LLC

Sivakanth Gopi

Sergey M Yekhanin

Karin Strauss

Denis X Charles

Dheepak Ramaswamy

Muthukrishnan Paramasivam

Henry E Pfister

Sreeram Nivarthi

Janardhan Dattatreya Kulkarni

Ananthatejas Raghavan

Aleksey Ashikhmin

Brandon J Maslen

Davis Leland Gilton

Joseph J Pfeiffer, Jr

Jagadeesh Virupaksha Huliyar

Erik Daniel Anderson

Anjaneya Malpani

Sriradha Selvaraj

Aleksandr Rebrikov

John Robert Mooring

Bingran Luo

Xinyun Sun

Disclosed is a system that tracks website usage without compromising user privacy. The system aggregates website usage data of multiple users across multiple websites. Website usage data is aggregated in a way that preserves each individual user's privacy. Specifically, information relevant to a particular user may be obtained from the aggregated information without exposing what was actually collected from that user. In some configurations, user-specific website usage data is aggregated using trusted execution environment computing hardware. This ensures that privacy is preserved while user-specific data is transferred to and processed by the system. The trusted execution environment applies differential privacy techniques to ensure that use of the aggregated information does not reveal actual information about a user's website usage history. In this way, privacy is maintained while still enabling many of the scenarios that would otherwise rely on third-party cookies.

Privacy preserving user personalization using noisy ranking

Redundancy information can be included in nucleotide symbol strings encoding underlying data. To avoid propagation of errors during the decoding process, during encoding, a constrained encoding can be performed before the redundancy information is computed. The redundancy information can be an outer encoding across multiple nucleotide symbol strings. An inner coding within nucleotide symbol strings can also be supported. Such redundancy information can be interleaved into the underlying nucleotide symbol strings to which the constrained encoding has been applied, resulting in a relaxed constraint. Insertion/deletion redundancy information can also be included in the resulting strings, and an insertion/deletion-sensitive sequence can be included to assist in recovering accurate sequences during decoding operations.

Reverse concatenation of error-correcting codes in DNA data storage

Data that has been stored according to a DNA data storage method can be decoded using a flexible approach that supports both solitary strand mapping and cluster-based trace reconstruction. Solitary strand mapping can place strings based on integrity verification. Redundancy information can be partitioned to support error correction during the solitary strand mapping while still achieving integrity verification. Clusters with verified strands can be skipped during cluster-based trace reconstruction. Useful for increasing the accuracy of the trace reconstruction procedure.

Flexible decoding in DNA data storage based on redundancy codes

A system and method for applying noise to data is described. The system accesses a metric value of a metric of each user from a group of users of an application. The metric indicates a measure of an operation of the application by a corresponding user. The system generates noise values and defines a distribution of the noise values to the group of users. The system modifies the metric value of the metric of each user with a corresponding noise value from the noise values based on the distribution.

Noise generation for differential privacy

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Redmond, WA, United States of America

Sivakanth Gopi