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Title    Protecting Smart Machines From Smart Attacks
Date    Friday November 29 2019, @01:55AM
Author    Fnord666
Topic   
from the fighting-back dept.
https://soylentnews.org/article.pl?sid=19/11/28/0443257

KritonK writes:

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.


Original Submission

Links

  1. "KritonK" - mailto:kyrimis@alumni.princeton.edu
  2. "researchers at Princeton University have found" - https://engineering.princeton.edu/news/2019/10/10/protecting-smart-machines-smart-attacks
  3. "Original Submission" - https://soylentnews.org/submit.pl?op=viewsub&subid=37767

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printed from SoylentNews, Protecting Smart Machines From Smart Attacks on 2021-12-01 16:21:29