Before revision:  We solve the resulting constrained optimization problem using an Augmented Lagrangian method (ALM) , where the constraint emphasizes reduction of FPR at high TPR . We present experimental results for image-based  classification applications using the CIFAR10 and an in-house medical imaging dataset  .
After revision:  We solve the resulting constrained optimization problem using an Augmented Lagrangian method (ALM) . Going beyond binary, we also propose two possible extensions of the proposed constraint for multi-class classification problems . We present experimental results for image-based classification applications using the CIFAR10 and an in-house medical imaging dataset .