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ORCIDWiseML@WiSec 2021: Abu Dhabi, United Arab Emirates
- Christina Pöpper, Mathy Vanhoef:
WiseML@WiSec 2021: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, Abu Dhabi, United Arab Emirates, July 2, 2021. ACM 2021, ISBN 978-1-4503-8561-9 - Jered Pawlak, Yuchen Li
, Joshua Price, Matthew Wright, Khair Al Shamaileh, Quamar Niyaz, Vijay K. Devabhaktuni:
A Machine Learning Approach for Detecting and Classifying Jamming Attacks Against OFDM-based UAVs. 1-6 - Mohini Patil, Xuyu Wang, Xiangyu Wang, Shiwen Mao:
Adversarial Attacks on Deep Learning-based Floor Classification and Indoor Localization. 7-12 - Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang Cindy Yi:
Adversarial Classification of the Attacks on Smart Grids Using Game Theory and Deep Learning. 13-18 - Hesham Mohammed, Dola Saha:
Adversarial Learning for Cross Layer Security. 19-24 - Yili Jiang, Kuan Zhang, Yi Qian, Rose Qingyang Hu:
Efficient and Privacy-preserving Distributed Learning in Cloud-Edge Computing Systems. 25-30 - Jing Xu, Minhui (Jason) Xue, Stjepan Picek:
Explainability-based Backdoor Attacks Against Graph Neural Networks. 31-36 - Morriel Kasher, Michael Zhao, Aryeh Greenberg, Devin Gulati, Silvija Kokalj-Filipovic, Predrag Spasojevic:
Inaudible Manipulation of Voice-Enabled Devices Through BackDoor Using Robust Adversarial Audio Attacks: Invited Paper. 37-42 - Selen Gecgel, Gunes Karabulut-Kurt:
Intermittent Jamming against Telemetry and Telecommand of Satellite Systems and A Learning-driven Detection Strategy. 43-48 - Naveen Naik Sapavath, Danda B. Rawat:
Learning Model for Cyber-attack Index Based Virtual Wireless Network Selection. 49-54 - Zhengping Luo, Shangqing Zhao, Rui Duan, Zhuo Lu, Yalin E. Sagduyu, Jie Xu:
Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing. 55-60 - Long Jiao, Guohua Sun, Junqing Le, Kai Zeng:
Machine Learning-Assisted Wireless PHY Key Generation with Reconfigurable Intelligent Surfaces. 61-66 - Joseph M. Carmack, Steve Schmidt, Scott Kuzdeba:
Multi-Agent Reinforcement Learning Approaches to RF Fingerprint Enhancement. 67-72 - Alexandre Prud'Homme, Burak Kantarci:
Poisoning Attack Anticipation in Mobile Crowdsensing: A Competitive Learning-Based Study. 73-78 - Steve Schmidt, James Stankowicz, Joseph M. Carmack, Scott Kuzdeba:
RiftNeXt™: Explainable Deep Neural RF Scene Classification. 79-84 - Attaullah Buriro, Francesco Ricci, Bruno Crispo:
SWIPEGAN: Swiping Data Augmentation Using Generative Adversarial Networks for Smartphone User Authentication. 85-90 - Amir Ahooye Atashin, Behrooz Razeghi, Deniz Gündüz, Slava Voloshynovskiy:
Variational Leakage: The Role of Information Complexity in Privacy Leakage. 91-96
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