In the modern AI (Artificial Intelligence) era, where vast troves of data are analyzed to power groundbreaking applications, lies an intriguing problem that baffles researchers and developers – the gargantuan AI-labeling challenge. This predicament stems from the need to annotate colossal datasets accurately and efficiently to train AI models effectively. As datasets balloon in size and complexity, traditional manual labeling becomes arduous and time-consuming. Enter cryptography, an artful blend of science and mathematics emerges as a promising solution to tackle this monumental AI-labeling enigma. Cryptography, a venerable discipline with roots in ancient civilizations, has long been revered for its prowess in securing information and ensuring confidentiality. Yet, its role in the AI-labeling domain is an unfolding chapter that captivates modern-day researchers. Harnessing cryptographic techniques, AI-labeling endeavors stand poised to scale unprecedented heights by obfuscating s...