Time Varying Impedance Attack

Time-varying impedance attacks exploit the dynamic nature of systems to compromise their stability or functionality. Research focuses on developing and analyzing these attacks across diverse applications, including autonomous navigation (using adversarial perturbations on lidar data and ICP algorithms), machine learning models (through timing side-channels and adaptive attack strategies), and safety-critical systems like haptic shared control steering. These attacks highlight vulnerabilities in various algorithms and models, underscoring the need for robust designs and security measures to prevent malicious exploitation and ensure system reliability.