GEE: A Gradient-based Explainable Variational Autoencoder for Network
Anomaly Detection

GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

15 March 2019

Papers citing "GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection"

10 / 10 papers shown

Title
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 375 10,591 0 17 Feb 2020
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection Yisroel Mirsky Tomer Doitshman Yuval Elovici A. Shabtai 74 813 0 25 Feb 2018
Towards better understanding of gradient-based attribution methods for Deep Neural Networks Marco Ancona Enea Ceolini Cengiz Öztireli Markus Gross FAtt 64 146 0 16 Nov 2017
Unsupervised Domain Adaptation for Robust Speech Recognition via Variational Autoencoder-Based Data Augmentation Wei-Ning Hsu Yu Zhang James R. Glass 44 128 0 19 Jul 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 429 18,346 0 27 May 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 256 4,787 0 04 Jan 2016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 493 62,243 0 04 Jun 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 154 2,800 0 20 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Practical recommendations for gradient-based training of deep architectures Yoshua Bengio 3DH ODL 189 2,197 0 24 Jun 2012