Deep learning has emerged as a powerful ally in the quest for robust, secure, and imperceptible watermarking solutions. Its capacity to model complex data patterns, along with its ability to adapt and learn from data, has opened up a plethora of exciting possibilities for watermarking techniques.

Throughout this blog post, we've delved into the captivating realm of Vision Transformers, discussing their origins, key concepts, notable architectures, practical applications, future directions, and challenges.

Meta Reinforcement Learning is a promising approach for developing AI systems that can generalize to new tasks and environments, particularly in the field of cryptography.