Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML

Sijia Liu, Songtao Lu, Xiangyi Chen +5

In this paper, we study the problem of constrained robust (min-max) optimization ina black-box setting, where the desired optimizer cannot access the gradients of the objective fun…