Researchmultimodalembodied aiautonomous drivingadversarial attacks
Researchers Demonstrate CHAI Attacks Against Embodied AI
9.2
Relevance Score
Researchers publish a paper on February 11, 2026 introducing CHAI, a prompt-based attack against embodied AI that embeds deceptive natural-language instructions in visual input to hijack Large Visual-Language Models (LVLMs). They evaluate CHAI on four LVLM agents across drone emergency landing, autonomous driving, aerial object tracking and a real robotic vehicle, reporting that CHAI consistently outperforms state-of-the-art attacks. The results underscore the urgent need for defenses beyond traditional adversarial robustness in embodied systems.
