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ORCIDWiseML@WiSec 2019: Miami, Florida, USA
- Proceedings of the ACM Workshop on Wireless Security and Machine Learning, WiseML@WiSec 2019, Miami, Florida, USA, May 14, 2019. ACM 2019, ISBN 978-1-4503-6769-1
- Zachary L. Langford, Logan Eisenbeiser, Matthew Vondal:
Robust Signal Classification Using Siamese Networks. 1-5 - Silvija Kokalj-Filipovic, Rob Miller, Joshua Morman:
Targeted Adversarial Examples Against RF Deep Classifiers. 6-11 - Tamoghna Roy, Tim O'Shea, Nathan E. West:
Generative Adversarial Radio Spectrum Networks. 12-15 - Luca Pajola, Luca Pasa, Mauro Conti:
Threat is in the Air: Machine Learning for Wireless Network Applications. 16-21 - Hai N. Nguyen, Tien Dang Vo-Huu, Triet Vo Huu, Guevara Noubir:
Towards Adversarial and Unintentional Collisions Detection Using Deep Learning. 22-24 - Samuel Bair, Matthew DelVecchio, Bryse Flowers, Alan J. Michaels, William C. Headley:
On the Limitations of Targeted Adversarial Evasion Attacks Against Deep Learning Enabled Modulation Recognition. 25-30 - Yueqian Zhang, Murat Simsek, Burak Kantarci:
Machine Learning-based Prevention of Battery-oriented Illegitimate Task Injection in Mobile Crowdsensing. 31-36 - Ertugrul N. Ciftcioglu, Mike Ricos:
Efficient Power Adaptation against Deep Learning Based Predictive Adversaries. 37-42 - Selen Gecgel
, Caner Goztepe, Gunes Karabulut-Kurt:
Jammer Detection based on Artificial Neural Networks: A Measurement Study. 43-48 - Keval Doshi, Mahsa Mozaffari, Yasin Yilmaz:
RAPID: Real-time Anomaly-based Preventive Intrusion Detection. 49-54 - Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu:
Generative Adversarial Network for Wireless Signal Spoofing. 55-60 - Ashish Adhikari, Danda B. Rawat, Min Song:
Wireless Network Virtualization by Leveraging Blockchain Technology and Machine Learning. 61-66 - Savio Sciancalepore, Omar Adel Ibrahim, Gabriele Oligeri, Roberto Di Pietro:
Detecting Drones Status via Encrypted Traffic Analysis. 67-72
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