US 12,462,153 B2
Behavior modeling using client-hosted neural networks
Christopher Ian Schneider, Hillend (GB); Amy Leigh Rose, Chapel Hill, NC (US); Andrew James Woodard, Buckinghamshire (GB); and Benjemin Thomas Waine, Cheshunt (GB)
Assigned to NVIDIA Corporation, Santa Clara, CA (US)
Filed by NVIDIA Corporation, Santa Clara, CA (US)
Filed on Jun. 10, 2020, as Appl. No. 16/898,290.
Prior Publication US 2021/0397940 A1, Dec. 23, 2021
Int. Cl. G06E 1/00 (2006.01); G06E 3/00 (2006.01); G06G 7/00 (2006.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); H04L 9/32 (2006.01)
CPC G06N 3/08 (2013.01) [G06N 3/045 (2023.01); H04L 9/3247 (2013.01)] 28 Claims
OG exemplary drawing
 
1. A system comprising:
one or more processors to use one or more local neural networks to identify abnormal activity within one or more first computer systems within a plurality of computer systems based, at least in part, on abnormal activity identified within one or more second computer systems within the plurality of computer systems using one or more baseline neural networks, wherein a determination of whether one or more activities are to be identified by the one or more baseline neural networks as abnormal is updated using the one or more activities identified by the one or more local neural networks.