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Antonio Ribeiro, Thomas Schön, Dave Zachariah, and Francis Bach propose tailored optimization algorithms for the adversarial training of linear models, utilizing iterative ridge regression for regression problems and projected gradient descent for classification problems, based on extended variable reformulations of the original problem.

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