Co-located with the 2026 8th Computing, Communications and IoT Applications Conference (ComComAp 2026)
Artificial intelligence (AI), machine learning (ML), and Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of domains and applications, including smart city applications, natural language processing, human-AI interaction, computer version, and digital twin data analysis, fueling a new wave of progress in artificial intelligence in next generation systems. But these systems are vulnerable to many challenges such as security threats, open source platforms, etc. Therefore, ensuring the security, integrity, and accountability of AI, ML, and LLMs throughout their development, deployment, and usage has become a central issue in multiple domains for both technological research and societal governance. This workshop aims to bring together researchers to explore theoretical models, empirical assessments, and practical defenses for AI/ML and LLMs, fostering rapid development and wide applications of LLMs in multiple application domains.
Accepted papers will be published in the IEEE IWCMC 2026 proceedings and will be submitted to the IEEE digital library (IEEE Xplore). Authors are welcome to submit original papers (not published before and/or simultaneously to another venue) with topics that include but are not limited to:
Accepted papers will be published in the IEEE ComComAp 2026 proceedings and will be submitted for inclusion in the IEEE Digital Library / IEEE Xplore.
The workshop will follow the same submission and notification deadlines as the main ComComAp 2026 conference.
Authors are invited to submit their papers through the official submission system.