公开(公告)号：US12050858B2

公开(公告)日：2024-07-30

申请号：US17480312

申请日：2021-09-21

Applicant: Bank of America Corporation

Inventor： Moncef El Ouriaghli ,  Nishitha Kakani ,  Sriram Mohanraj ,  Yanghong Shao ,  Timothy L Atwell

IPC: G06F40/18 ,  G06F18/21 ,  G06F21/62 ,  G06F40/20 ,  G06N20/00

CPC classification number: G06F40/18 ,  G06F18/2185 ,  G06F21/6245 ,  G06F40/20 ,  G06N20/00

Abstract: Artificial-intelligence computer-implemented processes and machines predict whether personal data may be present in structured software based on metadata field(s) contained therein. Natural language processing preprocesses input strings corresponding to the metadata field(s) into normalized input sequence(s). Individual characters in the sequence(s) are embedded into fixed-dimension vectors of real numbers. Bidirectional LSTM(s) or other machine-learning algorithm(s) are utilized to generate forward and backward contextualization(s). Neural network output(s) are provided based on element-wise averaging or feed forwarding based on the contextualization(s) in order to predict whether one or more value fields corresponding to the metadata field(s) may contain personal data.

公开(公告)号：US20240346240A1

公开(公告)日：2024-10-17

申请号：US18751999

申请日：2024-06-24

Applicant: Bank of America Corporation

Inventor： Moncef El Ouriaghli ,  Nishitha Kakani ,  Sriram Mohanraj ,  Yanghong Shao ,  Timothy L. Atwell

IPC: G06F40/18 ,  G06F18/21 ,  G06F21/62 ,  G06F40/20 ,  G06N20/00

CPC classification number: G06F40/18 ,  G06F18/2185 ,  G06F21/6245 ,  G06F40/20 ,  G06N20/00

Abstract: Artificial-intelligence computer-implemented processes and machines predict whether personal data may be present in structured software based on metadata field(s) contained therein. Natural language processing preprocesses input strings corresponding to the metadata field(s) into normalized input sequence(s). Individual characters in the sequence(s) are embedded into fixed-dimension vectors of real numbers. Bidirectional LSTM(s) or other machine-learning algorithm(s) are utilized to generate forward and backward contextualization(s). Neural network output(s) are provided based on element-wise averaging or feed forwarding based on the contextualization(s) in order to predict whether one or more value fields corresponding to the metadata field(s) may contain personal data.

公开(公告)号：US20230091581A1

公开(公告)日：2023-03-23

申请号：US17480312

申请日：2021-09-21

Applicant: Bank of America Corporation

Inventor： Moncef El Ouriaghli ,  Nishitha Kakani ,  Sriram Mohanraj ,  Yanghong Shao ,  Timothy L. Atwell

IPC: G06F40/18 ,  G06F40/20 ,  G06K9/62 ,  G06F21/62 ,  G06N20/00

Abstract: Artificial-intelligence computer-implemented processes and machines predict whether personal data may be present in structured software based on metadata field(s) contained therein. Natural language processing preprocesses input strings corresponding to the metadata field(s) into normalized input sequence(s). Individual characters in the sequence(s) are embedded into fixed-dimension vectors of real numbers. Bidirectional LSTM(s) or other machine-learning algorithm(s) are utilized to generate forward and backward contextualization(s). Neural network output(s) are provided based on element-wise averaging or feed forwarding based on the contextualization(s) in order to predict whether one or more value fields corresponding to the metadata field(s) may contain personal data.