An Approach To Enhance IoT Security In 6G Networks Through Explainable AI

4 October 2024

Papers citing "An Approach To Enhance IoT Security In 6G Networks Through Explainable AI"

11 / 11 papers shown

Title
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model Khushnaseeb Roshan Aasim Zafar 64 17 0 31 Jul 2023
Open RAN Security: Challenges and Opportunities Madhusanka Liyanage An Braeken Shahriar Shahabuddin Pasika Sashmal Ranaweera 79 87 0 03 Dec 2022
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 96 442 0 11 Nov 2021
Tabular Data: Deep Learning is Not All You Need Ravid Shwartz-Ziv Amitai Armon LMTD 172 1,288 0 06 Jun 2021
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection Mohanad Sarhan S. Layeghy Marius Portmann 67 66 0 15 Apr 2021
Explaining Network Intrusion Detection System Using Explainable AI Framework Shraddha Mane Dattaraj J. Rao AAML 59 71 0 12 Mar 2021
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,135 0 22 May 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 825 39,255 0 09 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,092 0 16 Feb 2016
A Random Forest Guided Tour Gérard Biau Erwan Scornet AI4TS 251 2,835 0 18 Nov 2015
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 390 25,747 0 09 Jun 2011