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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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