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Award ID contains: 1410000

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  1. ; ; ; (, IEEE Transactions on Vehicular Technology)
    Full Text Available 
  2. ; ; (, IEEE Symposium on Security and Privacy)
    Adversarial examples in deep learning were first discovered for the digital domain and later effected in the physical domain. In this work, we demonstrate adversarial examples in the perception domain; i.e., adversarial examples that are introduced by compromising the sensing mechanism of an image sensor. Our proposed attack relies on the injection of electromagnetic interference in a remote manner, and does not require physical modifications to the object, which makes the attack easier to launch and harder to detect. 
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    Accepted Manuscript Full Text Available