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US 2021/0264274 A1Published application
Secret sharing with a neural cryptosystem
AssigneeIntel Corporation
InventorsRaizy Kellerman, Michael Kounavis, Omer Ben-Shalom, Alex Nayshtut, Oleg Pogorelik
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Abstract
Partitioning a deep neural network (DNN) model into one or more sets of one or more private layers and one or more sets of one or more public layers, a set of one or more private layers being at least one key in a cryptographic system; and deploying the partitioned DNN model on one or more computing systems.
Claims22
A computer-implemented method comprising:
- partitioning a deep neural network (DNN) model into one or more sets of one or more private layers and one or more sets of one or more public layers, a set of one or more private layers being at least one key in a cryptographic system;
- and
- deploying the partitioned DNN model on one or more computing systems.
At least one non-transitory machine-readable storage medium comprising instructions that, when executed, cause at least one processing system to:
- partition a deep neural network (DNN) model into one or more sets of one or more private layers and one or more sets of one or more public layers, a set of one or more private layers being at least one key in a cryptographic system;
- and
- deploy the partitioned DNN model.
A system comprising:
- a processing device;
- and
- a memory device coupled to the processing device, the memory device having instructions stored thereon that, in response to execution by the processing device, cause the processing device to:
- partition a deep neural network (DNN) model into one or more sets of one or more private layers and one or more sets of one or more public layers, a set of one or more private layers being at least one key in a cryptographic system;
- and
- deploy the partitioned DNN model on one or more computing systems.
3 more elements
Dependencies are inferred from the claim text.