Brian Z Li

20220245276, Aug 4, 2022

Jan 29, 2021

17/162662

- Palo Alto CA, US
Stephen Chu - San Francisco CA, US
Brian Victor Li - Palo Alto CA, US

G06F 21/62
G06F 21/55
G06N 20/00

Techniques for implementing proactive data security operations for files using an analysis of access permission levels for the files are disclosed. In some embodiments, a computer system performs operations comprising: determining that data of a file includes sensitive information based on an analysis of the data using a data classification model; determining that access to the file is open using an access classification model; and based on the determination that the data of the file includes sensitive information and the determination that the access to the file is open, causing a notification to be displayed on a computing device of a user, the notification comprising an indication that the file includes sensitive information and that access to the file is open.

20200065354, Feb 27, 2020

Oct 31, 2019

16/670058

- San Mateo CA, US
Neehar Giri - Saratoga CA, US
Man Chan - San Jose CA, US
Isabelle Chai - San Mateo CA, US
Rahul Choudhry - Sunnyvale CA, US
Kitae Kim - London, GB
Stanley Poon - Los Altos CA, US
Brian Li - Fremont CA, US
Geeta Deodhar - Foster City CA, US
Elliott Yama - Danville CA, US

G06F 17/18
G06F 17/17
G06Q 30/02
G06F 16/435

The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.

20180349324, Dec 6, 2018

Jun 6, 2017

15/615091

- San Mateo CA, US
Neehar Giri - Saratoga CA, US
Man Chan - San Jose CA, US
Isabelle Chai - San Mateo CA, US
Rahul Choudhry - Sunnyvale CA, US
Kitae Kim - London, GB
Stanley Poon - Los Altos CA, US
Brian Li - Fremont CA, US
Geeta Deodhar - Foster City CA, US
Elliott Yama - Danville CA, US

G06F 17/18
G06F 17/17
G06Q 30/02
G06F 17/30

The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.