zhiqin1998/RecurrentIPR
This is the code repo of our AACL-IJCNLP 2022 on IPR protection of Recurrent Neural Network (RNN)
This tool helps companies offering Natural Language Processing (NLP) solutions as a Machine Learning as a Service (MLaaS) to protect their valuable Recurrent Neural Network (RNN) models. It embeds a unique 'key' during training, ensuring the model only performs at its best when this key is present. The output is a protected RNN model that retains its original performance, safeguarding your intellectual property from unauthorized use or theft.
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Use this if you are developing and deploying RNN-based NLP models and need a robust way to prevent others from stealing or misusing your proprietary work.
Not ideal if your models are not RNN-based or if you are not concerned about intellectual property protection for deployed machine learning services.
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Forks
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Language
Python
License
BSD-3-Clause
Last pushed
Aug 29, 2023
Commits (30d)
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/zhiqin1998/RecurrentIPR"
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