Efficient Optimization Algorithms for Linear Adversarial Training

Antônio H. RIbeiro, Thomas B. Schön, Dave Zahariah +1

Adversarial training can be used to learn models that are robust against perturbations. For linear models, it can be formulated as a convex optimization problem. Compared to method…