How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy

15 May 2020

Papers citing "How to Make 5G Communications "Invisible": Adversarial Machine Learning for Wireless Privacy"

5 / 5 papers shown

Title
Channel-Aware Adversarial Attacks Against Deep Learning-Based Wireless Signal Classifiers Brian Kim Y. Sagduyu Kemal Davaslioglu T. Erpek S. Ulukus AAML 46 111 0 11 May 2020
When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions Y. Sagduyu Yi Shi T. Erpek William C. Headley Bryse Flowers G. Stantchev Zhuo Lu AAML 42 39 0 24 Jan 2020
IoT Network Security from the Perspective of Adversarial Deep Learning Y. Sagduyu Yi Shi T. Erpek AAML 26 78 0 31 May 2019
Physical Adversarial Attacks Against End-to-End Autoencoder Communication Systems Meysam Sadeghi Erik G. Larsson AAML 29 112 0 22 Feb 2019
Deep Learning for Launching and Mitigating Wireless Jamming Attacks T. Erpek Y. Sagduyu Yi Shi AAML 31 192 0 03 Jul 2018