Huining Li

ActReal reveals that system-level mobile agents can successfully evade automation detection by generating synchronized touch and IMU signals, achieving over 77% attack success rates.

Multi-agent collaboration in video anomaly understanding leads to a significant boost in detection and verification accuracy, outperforming traditional methods.

Knowledge hallucinations are the most significant hurdle for MLLMs, revealing critical weaknesses in their robustness to false premises.