Stories
Slash Boxes
Comments

SoylentNews is people

posted by martyb on Wednesday February 19 2020, @09:45PM   Printer-friendly
from the Do-these-trick-other-vendor's-systems? dept.

Hackers can trick a Tesla into accelerating by 50 miles per hour:

This demonstration from the cybersecurity firm McAfee is the latest indication that adversarial machine learning can potentially wreck autonomous driving systems, presenting a security challenge to those hoping to commercialize the technology.

Mobileye EyeQ3 camera systems read speed limit signs and feed that information into autonomous driving features like Tesla's automatic cruise control, said Steve Povolny and Shivangee Trivedi from McAfee's Advanced Threat Research team.

The researchers stuck a tiny and nearly imperceptible sticker on a speed limit sign. The camera read the sign as 85 instead of 35, and in testing, both the 2016 Tesla Model X and that year's Model S sped up 50 miles per hour.

This is the latest in an increasing mountain of research showing how machine-learning systems can be attacked and fooled in life-threatening situations.

[...] Tesla has since moved to proprietary cameras on newer models, and Mobileye EyeQ3 has released several new versions of its cameras that in preliminary testing were not susceptible to this exact attack.

There are still a sizable number of Tesla cars operating with the vulnerable hardware, Povolny said. He pointed out that Teslas with the first version of hardware cannot be upgraded to newer hardware.

"What we're trying to do is we're really trying to raise awareness for both consumers and vendors of the types of flaws that are possible," Povolny said "We are not trying to spread fear and say that if you drive this car, it will accelerate into through a barrier, or to sensationalize it."

So, it seems this is not so much that a particular adversarial attack was successful (and fixed), but that it was but one instance of a potentially huge set. Obligatory xkcd.


Original Submission

Previously:
Protecting Smart Machines From Smart Attacks
A New Clothing Line Confuses Automated License Plate Readers
A Simple Sticker Tricked Neural Networks Into Classifying Anything as a Toaster
3D Printed Turtles Fool Google Image Classification Algorithm
Slight Street Sign Modifications Can Completely Fool Machine Learning Algorithms

 
This discussion has been archived. No new comments can be posted.
Display Options Threshold/Breakthrough Mark All as Read Mark All as Unread
The Fine Print: The following comments are owned by whoever posted them. We are not responsible for them in any way.
  • (Score: 2, Insightful) by Ethanol-fueled on Wednesday February 19 2020, @10:52PM (1 child)

    by Ethanol-fueled (2792) on Wednesday February 19 2020, @10:52PM (#960057) Homepage

    The same assholes driving in these cars are the same assholes watching Harry Potter with self-driving enabled and totally oblivious to the outside world. They ain't gonna notice shit until they get punched in the face with an airbag and then locked inside to die in a fiery inferno.

    Starting Score:    1  point
    Moderation   +1  
       Insightful=1, Total=1
    Extra 'Insightful' Modifier   0  

    Total Score:   2  
  • (Score: 3, Funny) by c0lo on Wednesday February 19 2020, @11:11PM

    by c0lo (156) Subscriber Badge on Wednesday February 19 2020, @11:11PM (#960070) Journal

    The same assholes driving being driven in these cars...

    FTFY

    They ain't gonna notice shit until they get punched in the face with an airbag and then locked inside to die in a fiery inferno.

    I would totally pay more taxes if I knew they are gonna be used for installing public, free of charge, "asshole punching and incinerating" facilities where this can happen without endangering the rest of decent humans.

    (who am I kidding, tho', the "decent human" race got extinct. Probably with Neanderthals)

    --
    https://www.youtube.com/watch?v=aoFiw2jMy-0