WiSeML Workshops 2023 Program

All times are listed in British Summer Time (BST).

Location: Please refer to the Venue Info.

Thursday 01 June

BST
09:20	Welcome
09:30	Keynote 1 Wenjing Lou, Virginia Tech, USA
10:30	Break (30 min)
11:00	Session 1: Adversarial Machine Learning (Session Chair: Zhengping Jay Luo)
Increasing the Robustness of a Machine Learning-based IoT Malware Detection Method with Adversarial Training (József Sándor, Roland Nagy, and Levente Buttyán) How Can the Adversary Effectively Distinguish Cellular IoT Devices from non-IoT devices Using LSTM Networks? (Zhengping Jay Luo, Will A. Pitera, Shangqing Zhao, Zhuo Lu, and Yalin Sagduyu) Exploring Adversarial Attacks on Learning-based Localization (Frost Mitchell, Phillip Smith, Aditya Bhaskara, and Sneha Kumar Kasera)
12:00	Lunch (1 hour)
13:20	Keynote 2 Mark Beach, University of Bristol, UK
14:20	Break (30 min)
14:50	Session 2: Machine Learning for Communications and Compression (Session Chair: Silvija Kokalj-Filipovic)
Approximate Wireless Communication for Federated Learning (Xiang Ma, Haijian Sun, Rose Hu, and Yi Qian) A Key Generation Scheme for IoV Communication Based on Neural Network Autoencoders (Liquan Chen, Han Wang, Tianyu Lu, and Zeyu Xu) Analysis of Lossy Generative Data Compression for Robust Remote Deep Inference (Mathew Williams, Silvija Kokalj-Filipovic, and Armani Rodriguez)
15:50	Break (10 min)
16:00	Session 3: Secrecy, Privacy and Anti-Jamming with Machine Learning (Session Chair: Phillip Smith)
Machine Learning-Based Jamming Detection and Classification in Wireless Networks (Enrico Testi, Luca Arcangeloni, and Andrea Giorgetti) Machine Learning Assisted Physical Layer Secret Key Generation in the One-Time-Pad Encryption Scheme (Liquan Chen, Yufan Song, Tianyu Lu, and Peng Zhang) Hierarchical Over-the-Air Federated Learning with Differential Privacy (Zixi Wang, Arick Grootveld, and M. Cenk Gursoy)