SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection

30 April 2023

Papers citing "SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection"

5 / 5 papers shown

Title
Evaluating The Explainability of State-of-the-Art Deep Learning-based Network Intrusion Detection Systems Ayush Kumar V. Thing 55 0 0 21 Feb 2025
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels R. Joyce Edward Raff Charles K. Nicholas 30 16 0 23 Sep 2021
Can We Leverage Predictive Uncertainty to Detect Dataset Shift and Adversarial Examples in Android Malware Detection? Deqiang Li Tian Qiu Shuo Chen Qianmu Li Shouhuai Xu AAML 44 11 0 20 Sep 2021
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective Pulei Xiong Scott Buffett Shahrear Iqbal Philippe Lamontagne M. Mamun Heather Molyneaux OOD 26 15 0 08 Jan 2021
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,599 0 19 Feb 2017