Neither Adversarial Training Nor Purification: Emergent Adversarial Robustness from Oscillatory Predictive Learning
This paper introduces Oscillatory Predictive Learning (OPL), a framework combining Artificial Kuramoto Oscillatory Neurons with predictive self-supervised pretraining that achieves competitive adversarial robustness on CIFAR-10 and CIFAR-100 without relying on computationally expensive adversarial training or test-time purification.