SAFE-EDGE 2026 is a workshop held in conjunction with the 21st International Conference on Availability, Reliability and Security (ARES 2026). Edge AI systems are increasingly deployed in critical infrastructures such as intelligent transportation systems, industrial IoT, smart grids, healthcare, and autonomous cyber-physical systems. While edge computing enables low-latency and decentralized intelligence, it also introduces new security, availability, and fault-tolerance challenges in distributed, resource-constrained, and physically exposed environments. SAFE-EDGE 2026 aims to bring together researchers and practitioners working on resilient and secure edge intelligence, with a focus on architectural, algorithmic, and system-level solutions such as adversarial machine learning at the edge, intrusion detection for distributed AI nodes, fault-tolerant inference, self-healing architectures, confidential computing, secure orchestration, and formal dependability models for AI-enabled cyber-physical systems.
by SBA Research