A closer look
You would reasonably assume medical AI evaluating an X-ray is entirely infallible, but hackers can gaslight the algorithm with terrifying ease. In the realm of adversarial robustness, researchers proved that altering a handful of invisible pixels on a patient's MRI scan can completely manipulate the AI's diagnosis. A perfectly healthy lung can be confidently classified as cancerous simply by overlaying a mathematical noise pattern that the human eye cannot even detect. This glaring vulnerability is forcing engineers to radically redesign neural networks against hostile manipulation.
