ML Reviews

fast gradient sign method

Given input xx with target yy, and loss function L\mathcal{L}, an adversarial example can be defined as x=x+εsign(xLx\prime = x + \varepsilon \mathrm{sign}(\nabla_x \mathcal{L}.