The International Conference on Availability, Reliability and Security focuses since 2006 on rigorous and novel research in the field of dependability, computer and information security. In cooperation with the conference several workshops are held covering a huge variety of security topics. Established in 2006, ARES serves as a pivotal gathering for researchers and practitioners in IT security and privacy, facilitating exchange, discussion, and transfer of knowledge. Since 2015, the ARES EU Projects Symposium is held concurrently, providing a space for EU research projects to showcase results and forge partnerships. ARES also supports numerous workshops held alongside the conference.
by SBA Research
The 21st International Conference on Availability, Reliability and Security (ARES 2026), will be held August 24 – 27, 2026 in Linköping, Sweden, at the Concert and Congress Hall, offering a central location, modern facilities, and space for open discussion.
The 21st International Conference on Availability, Reliability and Security (ARES 2026) will be held August 24–27, 2026 in Linköping, Sweden. It will host the AI&CCPS 2nd International Workshop on Artificial Intelligence, Cyber and Cyber-Physical Security, focused on AI applied to security challenges, robustness/resilience of AI, adversarial attacks, LLMs for cyber security, and related topics. Important dates: Submission Deadline May 01, 2026; Author Notification Jun 01, 2026; Proceedings Version Jun 13, 2026; Conference Aug 24 – Aug 27, 2026.
QCLLM 2026 is a workshop held in conjunction with the 21st International Conference on Availability, Reliability and Security (ARES 2026). Quantum computing and cybersecurity are both advancing rapidly, while Large Language Models (LLMs) are becoming increasingly important in research, industry, and society. QCLLM 2026 focuses on the intersection of these areas by exploring how quantum computing can be used to strengthen the security, robustness, and resilience of LLMs against emerging threats. The workshop aims to foster collaboration between researchers and practitioners in quantum computing, AI, and cybersecurity, with attention to both defensive opportunities and the risks posed by quantum-enabled attacks on AI systems. Topics of interest include quantum algorithms for enhancing LLM security, quantum-safe cryptography for AI models, securing LLM training and inference using quantum techniques, assessing vulnerabilities of LLMs in a quantum context, developing quantum-resistant architectures for LLMs, attacks against LLMs utilizing quantum computing, quantum machine learning applications in cybersecurity, adversarial defenses for LLMs using quantum resources, ethical implications, privacy preservation, legal considerations, and trust and explainability of quantum-secure AI models.