Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis

6 March 2022

Papers citing "Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis"

5 / 5 papers shown

Title
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 50 186 0 17 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao B. Wen Qian Wang AAML 73 473 0 02 Feb 2021
Insight into Insiders and IT: A Survey of Insider Threat Taxonomies, Analysis, Modeling, and Countermeasures I. Homoliak Flavio Toffalini J. Guarnizo Yuval Elovici Martín Ochoa 60 114 0 04 May 2018
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 238 3,190 0 30 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015