GRAPE

Researchers led by Tonio Ball introduced the Inverter framework, a neuro-inspired approach for embodied planning and control that uses paired forward/inverse internal models and open-loop multi-step m…

Researchers introduced GRAPE, a training framework that progressively exposes neural network parameters to improve adversarial robustness. On CIFAR-10 with ResNet-18, GRAPE achieved 56.94% PGD-20 robu…