AI
AI researchers use heartbeat detection to identify deepfake videos
The war in creating and detecting deepfakes continues but this is an interesting approach using biological markers to detect them vs. digital ones.
Existing deepfake detection models focus on traditional media forensics methods, like tracking unnatural eyelid movements or distortions at the edge of the face. The first study for detection of unique GAN fingerprints was introduced in 2018. But photoplethysmography (PPG) translates visual cues such as how blood flow causes slight changes in skin color into a human heartbeat. Remote PPG applications are being explored in areas like health care, but PPG is also being used to identify deepfakes because generative models are not currently known to be able to mimic human blood movements.
https://venturebeat.com/2020/09/03/ai-researchers-use-heartbeat-detection-to-identify-deepfake-videos/
Andrew Breen is a partner at The Buy Build Fund and the principal of Assert Digital Ventures where he acquires & invests in small, cash flow positive digital businesses with growth potential. He uses his years of digital product experience to expand the market. Currently focused on health & wellness, Andrew has grown ADV’s acquisitions significantly to date. In addition, Andrew advises leading companies from startups, investors to Fortune 1000 companies on digital products and transformation. Known for his deep knowledge of the Lean framework, Andrew has significantly restructured the digital products, processes and culture of a range of companies. He is an adjunct professor at both NYU's Stern School of Business and Courant (CS) Institute teaching on a range of tech product management and innovation topics. He is contributing author on two books on tech product and cultural topics.
