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"

24 / 24 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 301 30,152 0 01 Mar 2022
Bayesian Neural Networks: Essentials Daniel T. Chang UQCV BDL 82 12 0 22 Jun 2021
Tabular Data: Deep Learning is Not All You Need Ravid Shwartz-Ziv Amitai Armon LMTD 170 1,288 0 06 Jun 2021
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 107 198 0 17 Feb 2021
Anomaly Detection for Scenario-based Insider Activities using CGAN Augmented Data R. Gayathri Atul Sajjanhar Yong Xiang Xingjun Ma 40 16 0 15 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 184 495 0 02 Feb 2021
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities Shuhan Yuan Xintao Wu AAML 59 163 0 25 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 136 302 0 30 Apr 2020
NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion Aritran Piplai Sai Sree Laya Chukkapalli A. Joshi GAN AAML 47 38 0 20 Feb 2020
Image-Based Feature Representation for Insider Threat Classification R. Gayathri Atul Sajjanhar Yong Xiang 41 39 0 13 Nov 2019
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care H. Overweg Anna-Lena Popkes A. Ercole Yingzhen Li José Miguel Hernández-Lobato Yordan Zaykov Cheng Zhang 79 25 0 07 May 2019
Overfitting Mechanism and Avoidance in Deep Neural Networks Shaeke Salman Xiuwen Liu 54 145 0 19 Jan 2019
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness Magdalini Paschali Walter Simson Abhijit Guha Roy Muhammad Ferjad Naeem Rudiger Gobl Christian Wachinger Nassir Navab AAML 70 21 0 14 Jan 2019
Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors Yedid Hoshen Jitendra Malik GAN 54 56 0 21 Dec 2018
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 101 116 0 04 May 2018
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 230 9,568 0 31 Mar 2017
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 468 3,215 0 30 Oct 2016
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 160 4,910 0 14 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 150 1,147 0 05 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 899 9,364 0 06 Jun 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,145 0 20 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 271 10,438 0 06 Nov 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 293 14,978 1 21 Dec 2013
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 388 25,747 0 09 Jun 2011