191 citations · 191 across the 1 of their papers we have counts for
2 papers
cs.CR2020★ 191 cited
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…
cs.CR2019
New Era of Deeplearning-Based Malware Intrusion Detection: The Malware Detection and Prediction Based On Deep Learning
Shuqiang Lu, Lingyun Ying, Wenjie Lin +5
With the development of artificial intelligence algorithms like deep learning models and the successful applications in many different fields, further similar trails of deep learni…