Securing Deep Learning: Chaos-Based Watermarking for Intellectual Property Protection
Research#Model Security🔬 Research|Analyzed: Jan 10, 2026 10:00•
Published: Dec 18, 2025 15:26
•1 min read
•ArXivAnalysis
This research addresses a critical concern in the AI field: the protection of deep learning models' intellectual property. The use of chaos-based white-box watermarking offers a potentially robust method for verifying ownership and deterring unauthorized use.
Key Takeaways
- •Addresses the increasing need to protect the ownership of trained deep learning models.
- •Employs a chaos-based watermarking technique, potentially making the protection more resilient.
- •Proposes a white-box approach, allowing for watermarks that remain embedded even with model access.
Reference / Citation
View Original"The research focuses on protecting deep neural network intellectual property."