Google Inc.

Gregory Dardyk

Matthew Nicholas Papakipos

David Sehr

Bennet S Yee

J Bradley Chen

Matthew T Harren

Mor Miller

Andrew Swerdlow

Dan Fredinburg

Michael W Brandt

Travis Harrison Kroll Green

Umesh Shankar

Tomer Amarilio

Jonathan McPhie

Tilke Mary Judd

Ari J Leichtberg

Brandon Kyle Trew

Kyle Garner Harrison

Hristo Stefanov Stefanov

Sara Lee Su

Tzvi Itzhak Barenholz

Eric Sachs

Peter Klein

David Oren

Christoph Urs Oehler

Ilan Caron

Mark Russell Thomas

Marlo James McGriff, Ii

Etienne DeGuine

Si-Wai Yan Lai

Giora Unger

Yaniv Shuba

Joseph Adam Taylor

Lauren A Schmidt

Geva Rechav

Bao Lam

Alison Michelle Huml

Max Michiel Loubser

Jose Javier Zuniga, Jr

David C Sehr

A system that safely executes a native code module on a computing device. During operation, the system receives the native code module, which is comprised of untrusted native program code expressed using native instructions in the instruction set architecture associated with the computing device. The system then loads the native code module into a secure runtime environment, and proceeds to execute a set of instructions from the native code module in the secure runtime environment. The secure runtime environment enforces code integrity, control flow integrity, and data integrity for the native code module. Furthermore, the secure runtime environment moderates which resources can be accessed by the native code module on the computing device and/or how these resources can be accessed. By executing the native code module in the secure runtime environment, the system facilitates achieving native code performance for untrusted program code without a significant risk of unwanted side effects.

Safely executing an untrusted native code module on a computing device

A method includes gathering a plurality of instances of online activity associated with a user, analyzing the plurality of instances of online activity to determine a characteristic that is likely to correspond to a profile attribute of the user and generating a profile enrichment suggestion for the user based on the determined characteristic.

Identity crowd-sourced curation

An automated system for signing up users invited to join a site based on their existing identity includes an invitation generator, an invite processor, a federated authentication module, a user information retrieval module, an account population and creation module, and a user interface module. The automated sign up module is responsive to an invite request. The automated sign up module sends an authorization request, receives the authorization response, verifies the response and retrieves user data. The automated sign up module uses the retrieved data to populate a sign up form and initialize an account. The automated sign up module sends new account information to a user for confirmation. Once confirmation has been received, the automated sign up module creates the new account and allows the user to access the system. The present disclosure includes a method for signing up users invited to join a site based on their existing identity.

Automated sign up based on existing online identity

A system that safely executes a native code module on a computing device. During operation, the system receives the native code module, which is comprised of untrusted native program code expressed using native instructions in the instruction set architecture associated with the computing device. The system then loads the native code module into a secure runtime environment, and proceeds to execute a set of instructions from the native code module in the secure runtime environment. The secure runtime environment enforces code integrity, control-flow integrity, and data integrity for the native code module. Furthermore, the secure runtime environment moderates which resources can be accessed by the native code module on the computing device and/or how these resources can be accessed. By executing the native code module in the secure runtime environment, the system facilitates achieving native code performance for untrusted program code without a significant risk of unwanted side effects.

Growing community of inventors

Menlo Park, CA, United States of America

Gregory Dardyk