Tandon in the News

Fingerprint recognition could be vulnerable to AI attack


Similar to the way that a master key can unlock every door in a building, these “DeepMasterPrints” use artificial intelligence to match a large number of prints stored in fingerprint databases and could thus theoretically unlock a large number of devices. … Julian Togelius, an associate professor of computer science and engineering [at the NYU Tandon School of Engineering] who led the research, notes that the Latent Variable Evolution method researchers used here to generate fingerprints can also be used to make designs in other industries—notably game development.

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