A CNN Adversarial-Example Question on Bridge Collapse Prediction

We talked about research. Explain why this approach would fail: collect bridges and their design drawings from Wikipedia. Train a CNN on these drawings to predict whether a bridge will collapse (or whether it will collapse within the first X years after being built). Then, starting from random noise, use gradient descent to "construct" a drawing plan that makes the model predict a 99.9% probabili…

Shared by a candidate · reported May 2026. Interview formats change; use it as a guide, not a script.