Stealthy Attack

Stealthy attacks exploit vulnerabilities in various systems to achieve malicious goals without readily triggering alarms. Current research focuses on detecting these attacks across diverse domains, including power grids, autonomous vehicles, and machine learning models, employing techniques like anomaly detection with neural networks, physics-informed models, and generative adversarial networks. This research is crucial for enhancing the security and robustness of critical infrastructure and AI systems, mitigating the risks posed by increasingly sophisticated and undetectable attacks. The development of robust detection and defense mechanisms is paramount to ensuring the reliability and safety of these systems.