Published Paper Details:

Recent advancements in AI have surpassed our wildest expectations, particularly in the realm of Deep Neural Networks. These breakthroughs have enabled AI to manipulate various forms of multimedia, including video, audio, and photos. Deepfakes, a novel technique, allow for the complete transformation of multimedia, molding it into any desired perspective, whether positive or negative. The implications of realistic and high-quality deepfake videos are concerning, as they contribute to the dissemination of invasive information, incite political unrest, create social imbalances, and instill fear in vulnerable individuals. While creating deepfakes using AI-powered tools has become easier, detecting them and restoring the original layered multimedia from rasterized or altered versions remains a significant challenge. This situation fosters a sense of fear, instability, and profound desperation within national democracies. Consequently, the need arises for a system capable of assessing the authenticity of photos ensuring the safeguarding of individuals' security and privacy.