Alibaba Group had 100 patents in cybersecurity during Q1 2024. Alibaba Group Holding Ltd filed patents in Q1 2024 for a data processing method to reduce computational pressure in TEE models, a visual tracking system for focusing on active objects in videos, a multiplication unit for complex number operations, a processor with homomorphic encryption capabilities, and a computing device with an access detection unit for program switching. GlobalData’s report on Alibaba Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Alibaba Group grant share with cybersecurity as a theme is 80% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Data processing method, apparatus and system (Patent ID: US20240080192A1)
The patent filed by Alibaba Group Holding Ltd. discloses a data processing method, apparatus, and system that involve splitting a data processing module from a machine learning model to create a security application module for encryption calculations on input data. This method includes utilizing a preset operator to input output values from the machine learning model into the security application module for subgraph calculations in an isolated operating environment, resulting in a calculation output returned to the operator. The innovation addresses the challenge of high computational demands in Trusted Execution Environment (TEE) models by adapting reasoning frameworks to various customer requirements efficiently.
The claims associated with the patent detail the steps involved in the data processing method, emphasizing the splitting of the data processing module, generation of the security application module, and encryption calculations. The method involves tools like a heterogeneous accelerated compiler for optimizing and encrypting the data processing module, ensuring secure data processing. The system described in the patent integrates machine learning models, execution environments, and operators to facilitate efficient encryption calculations and data processing. By detecting use authorization and allocating application program interfaces, the system ensures secure and authorized processing of data within isolated environments. Overall, the patent presents a comprehensive approach to data processing, encryption, and secure computation within machine learning models, addressing the challenges associated with computational pressure and customer-specific requirements in TEE models.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
