Deepfake videos are becoming increasingly problematic, not only in spreading disinformation on social media but also in enterprise attacks. Now researchers at Drexel University College of Engineering say they have developed an advanced algorithm with a 98 percent accuracy rate in detecting deepfake videos. Called the MISLnet algorithm, for the school’s Multimedia and Information Security Lab where it was invented, the platform uses machine learning to recognize and extract the “digital fingerprints” of video generators including Stable Video Diffusion, VideoCrafter and CogVideo. Continue reading Drexel Claims Its AI Has 98 Percent Rate Detecting Deepfakes