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posted by Fnord666 on Friday November 29 2019, @01:55AM   Printer-friendly
from the fighting-back dept.

Machines' ability to learn by processing data gleaned from sensors underlies automated vehicles, medical devices and a host of other emerging technologies. But that learning ability leaves systems vulnerable to hackers in unexpected ways, researchers at Princeton University have found.

In a series of recent papers, a research team has explored how adversarial tactics applied to artificial intelligence (AI) could, for instance, trick a traffic-efficiency system into causing gridlock or manipulate a health-related AI application to reveal patients' private medical history. As an example of one such attack, the team altered a driving robot's perception of a road sign from a speed limit to a "Stop" sign, which could cause the vehicle to dangerously slam the brakes at highway speeds; in other examples, they altered Stop signs to be perceived as a variety of other traffic instructions.

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  • (Score: 2) by rigrig on Friday November 29 2019, @11:25AM (1 child)

    by rigrig (5129) Subscriber Badge <> on Friday November 29 2019, @11:25AM (#925981) Homepage

    You mean all except mine. — 83% of all drivers

    No one remembers the singer.
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  • (Score: 3, Informative) by maxwell demon on Friday November 29 2019, @02:33PM

    by maxwell demon (1608) Subscriber Badge on Friday November 29 2019, @02:33PM (#926007) Journal

    Sorry, the post said better than the best human. So even if you are the absolutely best human driver of the world, you still get your license revoked, because you're not better than yourself.

    The Tao of math: The numbers you can count are not the real numbers.