Scope
Deep learning has transformed many areas including the wireless security and privacy domains. It has significantly strengthened the design of security approaches, attacks as well as the defence to the Internet of things (IoT), beyond 5G/6G, from the physical layer to the upper layers. This workshop aims to bring together practitioners and researchers from both academia and industry for discussion and technical presentations on fundamental and practically relevant questions related to many challenges arising from deep learning-based security and privacy for wireless communications and networking. It also aims to provide the industry with fresh insight into the development of machine learning and deep learning applications in wireless security.
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We seek original completed and unpublished work not currently under review by any other journal/ magazine/conference. Topics of interest include, but are not limited to:
- AI/ML based physical layer technologies for B5G and 6G
- Artificial intelligence-generated content (AIGC) for wireless security
- Large language model (LLM) for wireless security
- Machine learning/deep learning-driven device identification using radio frequency fingerprint, physical layer channel features, and network traffic features
- Deep learning enhanced physical layer security
- Deep learning-enhanced RF security
- Adversarial machine learning in wireless communications, including adversarial erosion attacks, poisoning attacks, and Trajon/backdoor attacks
- Defensive and anticipatory aspects of adversarial machine learning in wireless communications
- Security and privacy of deep learning-based wireless sensing
- Intrusion and anomaly detection for wireless networks
- Prototype, practical testbeds, and performance evaluation
Workshop Web Page
https://sites.google.com/view/ml-dl-wireless-sec/
Important Dates
- Workshop Paper Submission Deadline: 20 January 2024
- Paper Acceptance Notification: 6 March 2024
- Camera Ready: 15 March 2024
- Accepted Author Registration Deadline: 15 March 2024
Submission Link
https://ws18icc2024workshop-mldlwisec.edas.info/
Workshop Chairs
- Burak Kantarci, University of Ottawa, Canada
- Yi Shi, Virginia Tech, USA
