Intel Promises 96 Percent Accuracy with New Deepfake Filter

Intel has debuted FakeCatcher, touting it as the first real-time deepfake detector. capable of determining whether digital video has been altered to change context or meaning. Intel says FakeCatcher has a 96 percent accuracy rate and returns results in milliseconds by analyzing the “blood flow” of pixel patterns, a process called photoplethysmography (PPG) that Intel borrowed from medical research. The company says potential use cases include social media platforms screening to prevent uploads of harmful deepfake videos and helping global news organizations to avoid inadvertent amplification of deepfakes. Continue reading Intel Promises 96 Percent Accuracy with New Deepfake Filter

Quality of Deepfakes and Textfakes Increase Potential Impact

FireEye data scientist Philip Tully showed off a convincing deepfake of Tom Hanks he built with less than $100 and open-source code. Until recently, most deepfakes have been low quality and pretty easy to spot. FireEye demonstrated that now, even those with little AI expertise can use published AI code and a bit of fine-tuning to create much more convincing results. But many experts believe deepfake text is a bigger threat, as the GPT-3 autoregressive language model can produce text that is difficult to distinguish from that written by humans. Continue reading Quality of Deepfakes and Textfakes Increase Potential Impact