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GenXNet 2026
The 2nd IEEE International Workshop on Generative and eXplainable AI for Networking
October 14-16, 2026 – Avignon, France
Website: https://traffic-arclab.github.io/genxnet2026/
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The 2nd IEEE International Workshop on Generative and eXplainable AI for Networking (GenXNet 2026) will be held in conjunction with the 22nd International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) in Avignon, France on October 14-16, 2026.
GenXNet aims at the investigation of research results and the systematic discussion of challenges at the intersection of Generative AI (GenAI) and eXplainable AI (XAI) with Networking systems.
GenXNet 2026 will include original full-paper presentations and a keynote. The workshop attendees will be stimulated to participate in interesting discussions.
SUBMISSION AND IMPORTANT DATES
Submission site: https://edas.info/N33860
Paper Submission: July 30th, 2026
Acceptance Notification: August 15th, 2026
TOPICS OF INTEREST
Authors are invited to submit papers that fall into or are related to one or multiple topic areas listed below:
GenAI-driven network traffic generation and augmentation
GenAI-powered network automation, configuration, and management
Applications of GenAI in wired, mobile, and 6G network traffic analysis and engineering
GenAI for user behavior modeling and simulation in next-generation networks
GenAI for enhanced network security, anomaly detection, and intrusion detection systems in heterogeneous wired/wireless and 6G networks
GenAI-based log analysis for cybersecurity and network performance optimization
Generative approaches for traffic prediction and load balancing
GenAI for simulation of advanced persistent threats and threat intelligence gathering
Security, privacy, and trustworthiness for GenAI in wired, mobile, and 6G networks
Robustness and reliability of GenAI for network management
XAI for real-time threat analysis in wired/wireless environments
XAI for energy-efficient and sustainable next-generation networks
XAI for security and threat detection
XAI in fault detection and management for modern network infrastructures
XAI for transparency in network operations and maintenance
XAI techniques for network traffic analysis and management
Integration of interpretability into AI-driven traffic analysis and human-in-the-loop AI
Bridging the gap between network data explanation and actionable interpretability
Fairness, accountability, and transparency in AI for next-generation networking
Techniques for improving the trust and practical use of data-driven network analysis methods in emerging network scenarios
Real-world applications and case studies of GenAI and/or XAI in modern network environments
SUBMISSION GUIDELINES
Authors are required to submit fully formatted, original papers (in PDF format). All workshop papers are limited to no more than 6 pages, including references, in the IEEE format aligned with the IEEE WiMob 2026 main conference guidelines: http://wimob.org/wimob2026/cfp.php. Each submission must be written in English, accompanied by a 75 to 200 words abstract that clearly outlines the scope and contributions of the paper.
The submission site is: https://edas.info/N33860
Accepted and presented papers will be published in the WiMob proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. IEEE reserves the right to exclude a paper from distribution after the conference, including IEEE Xplore Digital Library, if the paper is not presented by the author at the conference.
GENERAL CHAIRS
– Antonio Pescapè, University of Napoli Federico II, Italy (pescape@unina.it)
– Alfredo Nascita, University of Napoli Federico II, Italy (alfredo.nascita@unina.it)
– Francesco Cerasuolo, University of Napoli Federico II, Italy (francesco.cerasuolo@unina.it)
– Anca Delia Jurcut, School of Computer Science University College Dublin, Ireland (anca.jurcut@ucd.ie)
Note: if interested in being part of the TPC, please contact the workshop organizers.