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WiseML@WiSec 2023: Guildford, UK
- Deniz Gündüz, Mohammad Malekzadeh, Melek Önen, Yalin E. Sagduyu, Yi Shi, Junqing Zhang:
Proceedings of the 2023 ACM Workshop on Wireless Security and Machine Learning, WiseML2023, Guildford, United Kingdom, 1 June 2023. ACM 2023 - Wenjing Lou:
Fortifying Your Defenses: Techniques to Thwart Adversarial Attacks and Boost Performance of Machine Learning-Based Intrusion Detection Systems. 1 - József Sándor, Roland Nagy, Levente Buttyán:
Increasing the Robustness of a Machine Learning-based IoT Malware Detection Method with Adversarial Training. 3-8 - Zhengping Jay Luo, Will A. Pitera, Shangqing Zhao, Zhuo Lu, Yalin E. Sagduyu:
How Can the Adversary Effectively Identify Cellular IoT Devices Using LSTM Networks? 9-14 - Frost Mitchell, Phillip Smith, Aditya Bhaskara, Sneha Kumar Kasera:
Exploring Adversarial Attacks on Learning-based Localization. 15-20 - Xiang Ma, Haijian Sun, Rose Qingyang Hu, Yi Qian:
Approximate Wireless Communication for Federated Learning. 21-26 - Liquan Chen, Han Wang, Tianyu Lu, Zeyu Xu:
A Key Generation Scheme for IoV Communication Based on Neural Network Autoencoders. 27-32 - Mathew Williams, Silvija Kokalj-Filipovic, Armani Rodriguez:
Analysis of Lossy Generative Data Compression for Robust Remote Deep Inference. 33-38 - Enrico Testi, Luca Arcangeloni, Andrea Giorgetti:
Machine Learning-Based Jamming Detection and Classification in Wireless Networks. 39-44 - Liquan Chen, Yufan Song, Tianyu Lu, Peng Zhang:
Machine Learning Assisted Physical Layer Secret Key Generation in the One-Time-Pad Encryption Scheme. 45-50 - Zixi Wang, Arick Grootveld, Mustafa Cenk Gursoy:
Hierarchical Over-the-Air Federated Learning with Differential Privacy. 51-56
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