DNN-based AB Watermarking — Research Project

This research project investigates deep neural network (DNN) approaches to watermark embedding and extraction, focusing on robustness against common signal processing attacks, compression, and geometric distortions.

• Title: DNN-based AB Watermarking
• Description: Research on neural watermarking techniques and evaluation benchmarks.
• Launch Date: September 01, 2025

Summary

The project covers training pipelines, dataset preparation, attack simulations, and evaluation metrics. It includes example models and reproducible experiments.