Patents by Inventor Xixi Xie

Xixi Xie has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Efficient masking of secure data in ladder-type cryptographic computations
    Patent number: 11985221
    Abstract: Disclosed are apparatuses, systems, and techniques to perform and facilitate secure ladder computational operations whose iterative execution depends on secret values associated with input data. Disclosed embodiments use masking factors that re-blind secret data without exposing the unmasked secret data between iterations of the ladder computations. Some disclosed embodiments use Montgomery multiplication techniques to facilitate secret data masking by efficiently avoiding modular division operations. Disclosed embodiments significantly reduce the vulnerability of ladder computations to adversarial side-channel attacks.
    Type: Grant
    Filed: March 29, 2022
    Date of Patent: May 14, 2024
    Assignee: NVIDIA Corporation
    Inventors: Shuai Wang, Chen Yao, Xiao Wu, Rongzhe Zhu, Yuji Qian, Kun Yang, Xixi Xie
  • Techniques, devices, and instruction set architecture for efficient modular division and inversion
    Patent number: 11954487
    Abstract: Disclosed are apparatuses, systems, and techniques to perform and facilitate fast and efficient modular computational operations, such as modular division and modular inversion, using shared platforms, including hardware accelerator engines.
    Type: Grant
    Filed: March 29, 2022
    Date of Patent: April 9, 2024
    Assignee: Nvidia Corporation
    Inventors: Shuai Wang, Chen Yao, Xiao Wu, Rongzhe Zhu, Yuji Qian, Xixi Xie
  • TECHNIQUES, DEVICES, AND INSTRUCTION SET ARCHITECTURE FOR BALANCED AND SECURE LADDER COMPUTATIONS
    Publication number: 20230283462
    Abstract: Disclosed are apparatuses, systems, and techniques to perform and facilitate secure ladder computational operations whose iterative execution depends on secret values associated with input data. Disclosed embodiments balance execution of various iterations in a way that is balanced for different secret values, significantly reducing vulnerability of ladder computations to adversarial side-channel attacks.
    Type: Application
    Filed: March 29, 2022
    Publication date: September 7, 2023
    Inventors: Shuai Wang, Chen Yao, Xiao Wu, Rongzhe Zhu, Yuji Qian, Kun Yang, Weiping Pan, Xixi Xie
  • TECHNIQUES AND DEVICES FOR EFFICIENT MONTGOMERY MULTIPLICATION WITH REDUCED DEPENDENCIES
    Publication number: 20230244445
    Abstract: Disclosed are apparatuses, systems, and techniques to perform and facilitate fast and efficient modular computational operations, such as Montgomery multiplication with reduced interdependencies, using optimized processing resources.
    Type: Application
    Filed: March 29, 2022
    Publication date: August 3, 2023
    Inventors: Shuai Wang, Chen Yao, Xiao Wu, Yuji Qian, Rongzhe Zhu, Xixi Xie
  • EFFICIENT MASKING OF SECURE DATA IN LADDER-TYPE CRYPTOGRAPHIC COMPUTATIONS
    Publication number: 20230246806
    Abstract: Disclosed are apparatuses, systems, and techniques to perform and facilitate secure ladder computational operations whose iterative execution depends on secret values associated with input data. Disclosed embodiments use masking factors that re-blind secret data without exposing the unmasked secret data between iterations of the ladder computations. Some disclosed embodiments use Montgomery multiplication techniques to facilitate secret data masking by efficiently avoiding modular division operations. Disclosed embodiments significantly reduce the vulnerability of ladder computations to adversarial side-channel attacks.
    Type: Application
    Filed: March 29, 2022
    Publication date: August 3, 2023
    Inventors: Shuai Wang, Chen Yao, Xiao Wu, Rongzhe Zhu, Yuji Qian, Kun Yang, Xixi Xie
  • TECHNIQUES, DEVICES, AND INSTRUCTION SET ARCHITECTURE FOR EFFICIENT MODULAR DIVISION AND INVERSION
    Publication number: 20230244482
    Abstract: Disclosed are apparatuses, systems, and techniques to perform and facilitate fast and efficient modular computational operations, such as modular division and modular inversion, using shared platforms, including hardware accelerator engines.
    Type: Application
    Filed: March 29, 2022
    Publication date: August 3, 2023
    Inventors: Shuai Wang, Chen Yao, Xiao Wu, Rongzhe Zhu, Yuji Qian, Xixi Xie