An Interpretable Federated Learning-based Network Intrusion Detection
Framework

An Interpretable Federated Learning-based Network Intrusion Detection Framework

10 January 2022

Papers citing "An Interpretable Federated Learning-based Network Intrusion Detection Framework"

17 / 17 papers shown

Title
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 144 2 0 07 Nov 2024
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 48 467 0 15 Apr 2021
Model-Contrastive Federated Learning Qinbin Li Bingsheng He D. Song FedML 60 1,024 0 30 Mar 2021
Privacy-preserving Collaborative Learning with Automatic Transformation Search Wei Gao Shangwei Guo Tianwei Zhang Han Qiu Yonggang Wen Yang Liu 60 46 0 25 Nov 2020
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach Yi Liu S. Garg Jiangtian Nie Yan Zhang Zehui Xiong Jiawen Kang M. S. Hossain FedML 61 378 0 19 Jul 2020
iDLG: Improved Deep Leakage from Gradients Bo Zhao Konda Reddy Mopuri Hakan Bilen FedML 57 631 0 08 Jan 2020
Machine Unlearning Lucas Bourtoule Varun Chandrasekaran Christopher A. Choquette-Choo Hengrui Jia Adelin Travers Baiwu Zhang David Lie Nicolas Papernot MU 110 830 0 09 Dec 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 97 1,589 0 01 Nov 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 73 2,185 0 21 Jun 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 90 5,105 0 14 Dec 2018
DÏoT: A Federated Self-learning Anomaly Detection System for IoT T. D. Nguyen Samuel Marchal Markus Miettinen Hossein Fereidooni Nadarajah Asokan A. Sadeghi 122 490 0 20 Apr 2018
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection Yisroel Mirsky Tomer Doitshman Yuval Elovici A. Shabtai 63 803 0 25 Feb 2018
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 271 4,620 0 18 Oct 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 474 37,815 0 09 Mar 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 251 17,328 0 17 Feb 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.1K 149,474 0 22 Dec 2014
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 201 18,922 0 20 Dec 2014