Rezultati pretraživanja
  1. Woah. Researchers successfully trick autopilot into driving into opposing traffic via “small stickers as interference patches on the ground” (ht )

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  2. prije 9 sati
  3. 30. sij

    Pre-trained models designed to counter

  4. 4. stu 2019.

    Com ser l’home invisible amb una samarreta. Però el problema de l’home invisible és que no sap quan deixa de ser-ho mentre es segueix creient invisible

  5. is changing the approaches to , not only for the responders but also for the e-criminals (). Lots of food for thought in the presentation from at !

  6. 11. lis 2019.

    Just published our top 10 predictions for in 2020 & beyond, reflecting the key trends shaping the future of . Ping me if you want a copy! 👍

  7. 30. lip 2019.
  8. 21. lip 2019.

    Machine learning researchers are not solely concerned with improving the accuracy of models. They want to know how they can be corrupted and undermined

  9. 31. ožu 2019.

    Researchers trick Tesla autopilot into changing lanes by putting stickers on the ground. Such research is critical in an era of breathless AI hype.

  10. 10. ožu 2019.

    Great talk at . The strategic implications of not mitigating and are serious - a lack of trust in AI will reduce investment investment and adoption!

  11. 22. stu 2018.
  12. 13. ruj 2018.
    Odgovor korisnicima

    One way you can attack is with . Basically, this is a process in which many algorithms are working in tandem, so you end up with a much more robust and resilient solution. (2/2)

  13. 13. ruj 2018.
    Odgovor korisnicima

    Like with any technology, developers have to stay on top of their models or else they can be taken advantage of. If your algorithm is being gamed or manipulated, you’ll have a problem, and your results will suffer. This is what’s known as . (1/2)

  14. 30. lip 2018.

    Speaking at in Geneva at the side event on Artificial intelligence and digitization. This thread includes links to the points I discussed. 👇

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  15. 2. lip 2018.

    "Instagram-like filter that can be applied to photos to protect ...In addition to disabling facial recognition, the new technology also disrupts image-based search, feature identification, emotion and ethnicity estimation..."

  16. attacks can wreak havoc on autonomous vehicles, voice assistants, and much more. has released an software library to help protect AI systems:

  17. What happens when an autonomous vehicle stops recognizing stop signs? attacks can be devastating, but collaborative defense can help prevent them:

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