Do Input-Level Defenses Transfer to Observation-Level Attacks on VideoLLMs?
DefTEval is introduced, a controlled evaluation framework that systematically assesses whether input-level adversarial defenses, which operate on the pixel content of already-sampled frames, can mitigate observation-level attacks and demonstrates that securing VideoLLMs requires system-level robustness mechanisms spann...