113 citations · 138 across the 5 of their papers we have counts for
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q-bio.NC2020
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
Dongqi Han, Erik De Schutter, Sungho Hong
Feedforward networks (FFN) are ubiquitous structures in neural systems and have been studied to understand mechanisms of reliable signal and information transmission. In many FFNs,…
cs.CR2020
Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors
Dongqi Han, Zhiliang Wang, Ying Zhong +5
Machine learning (ML), especially deep learning (DL) techniques have been increasingly used in anomaly-based network intrusion detection systems (NIDS). However, ML/DL has shown to…