Patents by Inventor Su Xiao

Su Xiao 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).

  • Publication number: 20240171596
    Abstract: A message addressed to a user is received. A first model is applied to the message to produce a first output indicative of whether the message is representative of a non-malicious message. The first model is trained using past messages that have been verified as non-malicious messages. It is determined, based on the first output, that the message is potentially a malicious message. Responsive to determining that the message is potentially a malicious email based on the first output, apply a second model to the message to produce a second output indicative of whether the message is representative of a given type of attack. The second model is one of a plurality of models. At least one model included in the plurality of models is associated with characterizing a goal of the malicious message. An action is performed with respect to the message based on the second output.
    Type: Application
    Filed: September 26, 2023
    Publication date: May 23, 2024
    Inventors: Sanjay Jeyakumar, Jeshua Alexis Bratman, Dmitry Chechik, Abhijit Bagri, Evan Reiser, Sanny Xiao Lang Liao, Yu Zhou Lee, Carlos Daniel Gasperi, Kevin Lau, Kai Jing Jiang, Su Li Debbie Tan, Jeremy Kao, Cheng-Lin Yeh
  • Patent number: 11973772
    Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.
    Type: Grant
    Filed: February 22, 2022
    Date of Patent: April 30, 2024
    Assignee: Abnormal Security Corporation
    Inventors: Sanjay Jeyakumar, Jeshua Alexis Bratman, Dmitry Chechik, Abhijit Bagri, Evan Reiser, Sanny Xiao Lang Liao, Yu Zhou Lee, Carlos Daniel Gasperi, Kevin Lau, Kai Jiang, Su Li Debbie Tan, Jeremy Kao, Cheng-Lin Yeh
  • Publication number: 20230374338
    Abstract: Organotin compositions having the formula RSnL3 and corresponding synthetic methods are described. R includes aromatic, cyclic and/or halogenated ether moieties, or polyethers, and L includes hydrolysable groups. The organotin compositions may be formed as radiation-patternable coatings on substrates. The coatings may have an average thickness from about 1 nm to about 75 nm and have the formula RSnOn(OH)3-2n, forming an oxo-hydroxo network, where R is a hydrocarbyl ether group with 1 to 30 carbon atoms and 0<n<3/2, wherein regions of the coating are soluble in 2-heptanone in a puddle development step following a bake at 150° C. for 120 seconds. The coatings may be radiation-patternable using UV, EUV or ion beam radiation, and corresponding methods are described.
    Type: Application
    Filed: May 17, 2023
    Publication date: November 23, 2023
    Inventors: Robert E. Jilek, Brian J. Cardineau, Lucy Su Xiao Huffman, Stephen T. Meyers
  • Publication number: 20160319277
    Abstract: The invention provides a method of increasing protein production in a cell by contacting the cell with miRNA, siRNA or a combination thereof, or increasing protein production by genome editing methodologies to silence or inhibit gene expression. A screening method for obtaining such miRNA or siRNA species is also provided, as well as identification of target genes for genome editing.
    Type: Application
    Filed: January 28, 2016
    Publication date: November 3, 2016
    Inventors: Joseph Shiloach, Michael J. Betenbaugh, Scott E. Martin, Su Xiao, Yu-Chi Chen