most citedMan-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models

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cs.LG2018

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…