Combating Deepfakes: A Novel Hybrid Hardware-Software Approach

In the era of Artificial Intelligence, Deepfake technology has become one of the major threats to privacy, creativity, and authenticity. Deepfakes initially gained attention in the context of manipulated adult content. However, they have extended their influence across various domains, involving the manipulation of texts, audios, videos, images, political and creative contents. With growing concerns regarding the threats of deepfakes, researchers are developing ways to detect manipulated content. However, there is limited research regarding the prevention of deepfakes, and as per our knowledge, a hardware-based approach does not exist. In this study, we propose a novel hybrid hardware-software based approach to prevent and detect deepfakes.