PersonaMark: Personalized LLM Watermarking

PersonaMark is a novel personalized text watermarking scheme designed to protect the copyrights of Large Language Models (LLMs) and enhance accountability. With the rapid advancement of customized LLMs, safeguarding model copyright and ensuring data privacy have become critical. Text watermarking has emerged as a viable solution for detecting AI-generated content and protecting models. However, existing methods fall short in providing individualized watermarks for each user, a critical feature for enhancing accountability and traceability. PersonaMark leverages sentence structure as a subtle carrier of watermark information and optimizes the generation process to maintain the natural output of the model. By employing a personalized hashing function, unique watermarks are embedded for each user, enabling high-quality text generation without compromising the model's performance. This approach is both time-efficient and scalable, capable of handling large numbers of users through a multi-user hashing mechanism. Extensive evaluations across four LLMs demonstrate that PersonaMark preserves text quality, ensures unbiased watermark insertion, and offers robust watermark detection capabilities, all while maintaining the model's behavior with minimal disruption.

Category: Artificial Intelligence
Subcategory: Natural Language Processing
Tags: watermarkingLLMcopyright protectionuser attribution
AI Type: Machine Learning
Programming Languages: Python
Frameworks/Libraries: TensorFlowPyTorch
Application Areas: Copyright protectionAI-generated content detection
Manufacturer Company: PersonaMark Inc.
Country: USA
Algorithms Used

Personalized hashing, watermarking

Model Architecture

Personalized watermarking framework

Datasets Used

Various LLM datasets

Performance Metrics

Text quality, watermark detection accuracy

Deployment Options

Cloud-based, on-premises

Cloud Based

Yes

On Premises

Yes

Features

Personalized watermarking, robust detection, scalable

Enterprise

Yes

Hardware Requirements

Standard computing hardware

Supported Platforms

Linux, Windows, macOS

Interoperability

Compatible with existing LLM systems

Security Features

Data privacy and security measures

Compliance Standards

GDPR, HIPAA

Certifications

None

Open Source

No

Community Support

Professional support available

Contributors

PersonaMark team

Training Data Size

Varies depending on dataset

Inference Latency

Low latency

Energy Efficiency

Optimized for energy efficiency

Explainability Features

Explainable AI techniques integrated

Ethical Considerations

Designed with ethical AI principles

Known Limitations

Limited to specific LLMs

Industry Verticals

Publishing, technology

Use Cases

Copyright protection, user attribution

Customer Base

Publishing companies, tech firms

Integration Options

API integration with LLM systems

Scalability

Highly scalable

Support Options

Professional support, training services

SLA

Service Level Agreement available

User Interface

Web-based dashboard

Multi-Language Support

Yes

Localization

Available in multiple languages

Pricing Model

Subscription-based

Trial Availability

Yes

Partner Ecosystem

Collaborations with publishing partners

Patent Information

No patents

Regulatory Compliance

Compliant with industry standards

Version

1.0.0

Service Type

Software as a Service (SaaS)

Has API

Yes

API Details

RESTful API available

Business Model

Subscription-based with optional services

Price

0.00

Currency

USD

License Type

Proprietary

Release Date

01/12/2023

Last Update Date

01/12/2023

Contact Email

support@personamark.org

Contact Phone

+1-800-555-0199

Other Features

Customizable watermarking, user-specific attribution

Published

Yes