Blind Spots in AI Just Might Help Protect Your Privacy
… These early experiments in using adversarial examples as a protective mechanism rather than a flaw are promising from a privacy standpoint, says Brendan Dolan-Gavitt, a computer scientist at NYU's Tandon School of Engineering who focuses on machine learning and security. But he warns that they're fighting the tide of machine-learning research: The vast majority of academics working on machine learning see adversarial examples as a problem to solve, rather than a mechanism to exploit.