17457717. DATA PROTECTION FOR REMOTE ARTIFICIAL INTELLIGENCE MODELS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
DATA PROTECTION FOR REMOTE ARTIFICIAL INTELLIGENCE MODELS
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
Ming Jin Chen of Zhe Jiang (CN)
DATA PROTECTION FOR REMOTE ARTIFICIAL INTELLIGENCE MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17457717 titled 'DATA PROTECTION FOR REMOTE ARTIFICIAL INTELLIGENCE MODELS
Simplified Explanation
The abstract describes a method, computer system, and computer program for data protection. The invention involves generating an encoder network, encoding natural language training data using the network, and training a deep learning model using the encoded data.
- The invention involves creating an encoder network.
- The encoder network is used to encode natural language training data.
- The encoded training data is then used to train a deep learning model.
Potential Applications
- Data protection and privacy in natural language processing tasks.
- Securely handling sensitive information in machine learning models.
- Enhancing the security of language-based applications and systems.
Problems Solved
- Protecting sensitive data during training and processing.
- Addressing privacy concerns in natural language data handling.
- Ensuring the security of deep learning models and their training data.
Benefits
- Improved privacy and data protection in natural language processing.
- Enhanced security measures for sensitive information in machine learning.
- Increased trust and confidence in language-based applications and systems.
Original Abstract Submitted
A method, computer system, and a computer program product for data protection is provided. The present invention may include, generating an encoder network. The present invention may also include, encoding a training data using the generated encoder network, wherein the training data includes natural language data. The present invention may further include, training a deep learning model using the encoded training data.
