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On the Limitations of Targeted Adversarial Evasion Attacks Against Deep Learning Enabled Modulation Recognition

Proceedings of the ACM Workshop on Wireless Security and Machine Learning, pp.25-30, (2019)

Cited by: 9|Views83
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Abstract

Wireless communications has greatly benefited in recent years from advances in machine learning. A new subfield, commonly termed Radio Frequency Machine Learning (RFML), has emerged that has demonstrated the application of Deep Neural Networks to multiple spectrum sensing tasks such as modulation recognition and specific emitter identific...More

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Author
Samuel Bair
Samuel Bair
Matthew DelVecchio
Matthew DelVecchio
Bryse Flowers
Bryse Flowers
Alan J. Michaels
Alan J. Michaels
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