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Award ID contains: 1801402

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  1. ; ; (, 23rd International Symposium on Research in Attacks, Intrusions and Defenses)
    Accepted Manuscript Full Text Available
  2. ; ; ; (, SVM: Secure Vehicle Motion Verification with a Single Wireless Receiver)
    Full Text Available 
  3. ; ; ; (, IEEE Transactions on Vehicular Technology)
    Full Text Available 
  4. ; ; ; ; (, ACSAC '19: Proceedings of the 35th Annual Computer Security Applications Conference)
    Full Text Available 
  5. ; ; (, 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