MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks

Siwakorn Srisakaokul, Yuhao Zhang, Zexuan Zhong +3

Despite being popularly used in many applications, neural network models have been found to be vulnerable to adversarial examples, i.e., carefully crafted examples aiming to mislea…