DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning

The rapid advancement in deep learning makes the differentiation of authentic and manipulated facial images video clips unprecedentedly harder. underlying technology manipulating appearances through generative approaches, enunciated as DeepFake that have emerged recently by promoting a vast number malicious face manipulation applications. Subsequently, need other sort techniques can assess integrity digital visual content is indisputable to reduce impact creations DeepFake. A large body research are performed on creation detection create scope pushing each beyond current status. This study presents challenges, trends, directions related reviewing notable domain facilitate development more robust approaches could deal with advance future.