Actually the system breaking tomorrow isn't likely to be the case due to the transferability property of adversarial examples.

Adversarial examples transfer between different models trained on different datasets with different architectures.

A new model from yesterday's data is essentially the same architecture, just with some fluctuations in decision boundaries.

Might it affect the success over time? Sure. But not tomorrow.