DWT-AMSA: Robust image steganography via frequency-domain adaptive masking and progressive adversarial training

This research paper presents DWT-AMSA, a new method for image steganography (hiding secret data inside images so others cannot detect it) that uses frequency-domain adaptive masking (adjusting which parts of an image's mathematical representation are modified based on the image content) and progressive adversarial training (a machine learning technique where two competing AI systems improve each other iteratively to make the hidden data harder to detect). The method aims to make hidden information more robust and harder for attackers to discover or remove.