US 11,886,604 B2
Image content obfuscation using a neural network
Kamlesh Dattaram Kshirsagar, Stuttgart (DE); and Frank T. Seide, Yarrow Point, WA (US)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by MICROSOFT TECHNOLOGY LICENSING, LLC, Redmond, WA (US)
Filed on Mar. 27, 2023, as Appl. No. 18/126,615.
Application 18/126,615 is a continuation of application No. 16/864,465, filed on May 1, 2020, granted, now 11,709,954.
Prior Publication US 2023/0237176 A1, Jul. 27, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 21/62 (2013.01); G06N 20/00 (2019.01); G06F 21/60 (2013.01); G06N 3/084 (2023.01); G06F 18/241 (2023.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06F 18/214 (2023.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); G06V 20/20 (2022.01); G06V 40/10 (2022.01); G06V 40/16 (2022.01)
CPC G06F 21/6209 (2013.01) [G06F 18/2155 (2023.01); G06F 18/241 (2023.01); G06F 21/602 (2013.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/7715 (2022.01); G06V 10/82 (2022.01); G06V 10/95 (2022.01); G06V 20/20 (2022.01); G06V 40/113 (2022.01); G06V 40/172 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method of obfuscating image content comprising:
receiving an image;
processing the image with a local neural network to generate an array, the local neural network operating on a local computing system;
scrambling the array deterministically to change a spatial arrangement of values within the array to generate a transformed object;
communicating the transformed object to a remote classifier operating in a remote computing system;
receiving at the local computing system a classification for the image produced by the remote classifier; and
saving, at the local computing system, the classification in association with the image.