Patents by Inventor Bryant Chen

Bryant Chen 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).

  • Using Gradients to Detect Backdoors in Neural Networks
    Publication number: 20190318099
    Abstract: Mechanisms are provided for evaluating a trained machine learning model to determine whether the machine learning model has a backdoor trigger. The mechanisms process a test dataset to generate output classifications for the test dataset, and generate, for the test dataset, gradient data indicating a degree of change of elements within the test dataset based on the output generated by processing the test dataset. The mechanisms analyze the gradient data to identify a pattern of elements within the test dataset indicative of a backdoor trigger. The mechanisms generate, in response to the analysis identifying the pattern of elements indicative of a backdoor trigger, an output indicating the existence of the backdoor trigger in the trained machine learning model.
    Type: Application
    Filed: April 16, 2018
    Publication date: October 17, 2019
    Inventors: Wilka Carvalho, Bryant Chen, Benjamin J. Edwards, Taesung Lee, Ian M. Molloy, Jialong Zhang