IEEE - Institute of Electrical and Electronics Engineers, Inc. - Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems

Author(s): Meysam Sadeghi ; Erik G. Larsson
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (CD): 2373-7891
ISSN (Electronic): 1558-2558
ISSN (Paper): 1089-7798
DOI: 10.1109/LCOMM.2019.2901469
Regular:

We show that end-to-end learning of communication systems through deep neural network (DNN) autoencoders can be extremely vulnerable to physical adversarial attacks. Specifically, we elaborate how... View More

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