Explain how you would redesign the neural network architecture to mitigate the vulnerability to adversarial attacks. What tradeoffs do you consider when choosing a design?

Replace linear activation functions with non-linear ones (e.g., ReLU, tanh) to reduce the impact of excessive linearity in the learned functions. Additionally, use techniques such as dropout and batch normalization to improve model robustness against adversarial examples.