Ensemble adversarial training: Attacks and defenses

F Tramèr, A Kurakin, N Papernot, I Goodfellow… - arXiv preprint arXiv …, 2017 - arxiv.org
Adversarial examples are perturbed inputs designed to fool machine learning models.
Adversarial training injects such examples into training data to increase robustness. To …

Mitigating evasion attacks to deep neural networks via region-based classification

X Cao, NZ Gong - Proceedings of the 33rd Annual Computer Security …, 2017 - dl.acm.org
Deep neural networks (DNNs) have transformed several artificial intelligence research
areas including computer vision, speech recognition, and natural language processing …

A survey of thermal-aware routing protocols in wireless body area networks

W Jiang, Z Wang, M Feng, T Miao - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Wireless body area networks (WBANs) have risen great concern among the society in the
fields such as health care and disease control and prevention. However, the radio frequency …