Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-task Training

Derek Wang, Chaoran Li, Sheng Wen +2

Deep neural networks (DNNs) are known to be vulnerable to adversarial examples which contain human-imperceptible perturbations. A series of defending methods, either proactive defe…