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Poisoning attacks can severely undermine autonomous vehicle systems, but a new framework effectively filters out malicious influences to ensure safer decision-making.
Pretrained VLA models can be transformed into safer navigators, reducing near-collisions by over 86% through better alignment of their internal representations with action outputs.
