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US 2021/0232907 A1Published application
Cheating detection using one or more neural networks
AssigneeNVIDIA Corporation
InventorsSiddhant Pardeshi, Pranit P. Kothari, Vinayak Vilas Gaikwad, Kumar Nitish
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Abstract
Apparatuses, systems, and techniques to detect cheating, manipulation, or unfair advantages. In at least one embodiment, cheating is determined using a reconstruction probability inferred, using one or more neural networks, for video data for a player of a game.
Claims30
A processor, comprising:
- one or more circuits to detect cheating by one or more players of one or more games based, at least in part, on one or more anomalies detected by one or more neural networks in video data from the one or more games.
A system comprising:
- one or more processors to detect cheating by one or more players of one or more games based, at least in part, on one or more anomalies detected by one or more neural networks in video data from the one or more games.
A method comprising:
- detecting cheating by one or more players of one or more games based, at least in part, on one or more anomalies detected by one or more neural networks in video data from the one or more games.
A machine-readable medium having stored thereon a set of instructions, which if performed by one or more processors, cause the one or more processors to at least:
- detect cheating by one or more players of one or more games based, at least in part, on one or more anomalies detected by one or more neural networks in video data from the one or more games.
A cheating detection system, comprising:
- one or more processors to detect cheating by one or more players of one or more games based, at least in part, on one or more anomalies detected by one or more neural networks in video data from the one or more games;
- and
- memory for storing network parameters for the one or more neural networks.
Dependencies are inferred from the claim text.