ONE OF THE most difficult things about detecting manipulated photos, or “deepfakes,” is that digital photo files aren’t coded to be tamper-evident. But researchers from New York University’s Tandon School of Engineering are starting to develop strategies that make it easier to tell if a photo has been altered, opening up a potential new front in the war on fakery. … “People are still not thinking about security—you have to go close to the source where the image is captured,” says Nasir Memon, one of the project researchers from NYU Tandon who specializes in multimedia security and forensics.
June 10, 2019June 10, 2019Emerald Knox
CCS News