Invention Grant
- Patent Title: System and method for intentionally distorting digital media to reduce the accuracy of generative machine learning algorithms
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Application No.: US16841031Application Date: 2020-04-06
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Publication No.: US10945051B1Publication Date: 2021-03-09
- Inventor: Matthew Bruce Murray , Garrett Thomas Botkin , Kathleen D. Schaumburg
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Agent Michael A. Springs
- Main IPC: H04N21/8358
- IPC: H04N21/8358 ; G06N20/20 ; G06N3/08 ; G06N3/04

Abstract:
An apparatus includes a processor that monitors transmissions destined for an external network, determines that a transmission includes original media associated with a subject, and intercepts the transmission before it reaches the external network. The processor generates modified media by selecting a subset of data elements of the original media and replacing a value of each data element of the subset with a new value. At least one of the subset of data elements and the set of new values is chosen such that an accuracy metric calculated for a first generative algorithm, trained to generate synthetic representations of the subject based on modified media, is less than, by a given factor, the accuracy metric calculated for a second generative algorithm, trained to generate synthetic representations of the subject based on original media. The processor replaces the transmission with a new transmission that includes the modified media.
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