PATENT CLAIM ANALYSIS

Application Number: 16211994
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-12
Patent Classification: ["706", "013000"]

Abstract:
A device, system, and method is provided to mimic a pre-trained target model without access to the pre-trained target model or its original training dataset. A set of random or semi-random input data may be sent to randomly probe the pre-trained target model at a remote device. A set of corresponding output data may be received from the remote device that is generated by applying the pre-trained target model to the set of random or semi-random input data. A random probe training dataset may be generated comprising the set of random or semi-random input data and corresponding output data generated by randomly probing the pre-trained target model. A new model may be trained with the random probe training dataset so that the new model generates substantially the same corresponding output data in response to said input data to mimic the pre-trained target model.

Claim (Index 8):
The method of  claim 1  comprising training the new model over multiple epochs with a different random probe training dataset in each of the multiple epochs.

Metadata:
- Claim Count in Document: 46.0
- Percentile: 98.0
- Lexical Diversity: 2.67857
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16121015', '15633288', '12093435', '15820253', '15080927']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3614968503073631
- 35 USC 102 Novelty (BERT): 0.5075599729030033
- Combined Prediction Score: 0.3761031625669271
- Mean Citation Score: 220.093352
- Max Citation Score: 258.21375
- Similarity Product: 158.48253182217482

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test