139 citations · 509 across the 82 of their papers we have counts for
5 papers · 1 filter
Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning
Yalin E. Sagduyu, Tugba Erpek
Low-Power Wide-Area Network (LPWAN) technologies, such as LoRa, have gained significant attention for their ability to enable long-range, low-power communication for Internet of Th…
Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks
Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus +1
This paper highlights vulnerabilities of deep learning-driven semantic communications to backdoor (Trojan) attacks. Semantic communications aims to convey a desired meaning while t…
Is Semantic Communications Secure? A Tale of Multi-Domain Adversarial Attacks
Yalin E. Sagduyu, Tugba Erpek, Sennur Ulukus +1
Semantic communications seeks to transfer information from a source while conveying a desired meaning to its destination. We model the transmitter-receiver functionalities as an au…
IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification
Tao Hou, Tao Wang, Zhuo Lu +2
With the proliferation of IoT devices, researchers have developed a variety of IoT device identification methods with the assistance of machine learning. Nevertheless, the security…
Membership Inference Attack and Defense for Wireless Signal Classifiers with Deep Learning
Yi Shi, Yalin E. Sagduyu
An over-the-air membership inference attack (MIA) is presented to leak private information from a wireless signal classifier. Machine learning (ML) provides powerful means to class…