Data Extraction and Analysis

On Designing Machine Learning Models for Malicious Network Traffic Classification

Authors: Talha Ongun, Timothy Sakharaov, Simona Boboila, Alina Oprea, Tina Eliassi-Rad | Published: 2019-07-10
Data Extraction and Analysis
Attack Detection
Machine Learning Framework

Application Inference using Machine Learning based Side Channel Analysis

Authors: Nikhil Chawla, Arvind Singh, Monodeep Kar, Saibal Mukhopadhyay | Published: 2019-07-09
Automation of Cybersecurity
Data Extraction and Analysis
Machine Learning Framework

Privacy-Preserving Classification with Secret Vector Machines

Authors: Valentin Hartmann, Konark Modi, Josep M. Pujol, Robert West | Published: 2019-07-08 | Updated: 2020-08-19
Data Extraction and Analysis
Privacy Protection
Federated Learning

A Bayesian Hierarchical Model for Criminal Investigations

Authors: F. O. Bunnin, J. Q. Smith | Published: 2019-07-03 | Updated: 2019-11-05
Task Design
Data Extraction and Analysis
Information Gathering Methods

Gathering Cyber Threat Intelligence from Twitter Using Novelty Classification

Authors: Ba Dung Le, Guanhua Wang, Mehwish Nasim, Ali Babar | Published: 2019-07-03 | Updated: 2019-09-05
Automation of Cybersecurity
Data Extraction and Analysis
Information Gathering Methods

Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts

Authors: Xiaoyu Du, Mark Scanlon | Published: 2019-07-02
Data Extraction and Analysis
Machine Learning Framework
Research Methodology

System Misuse Detection via Informed Behavior Clustering and Modeling

Authors: Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp | Published: 2019-07-01
Data Extraction and Analysis
Machine Learning Framework
Anomaly Detection Method

Secure Summation via Subset Sums: A New Primitive for Privacy-Preserving Distributed Machine Learning

Authors: Valentin Hartmann, Robert West | Published: 2019-06-27 | Updated: 2023-06-19
Data Extraction and Analysis
Privacy Protection
Initial Seed Generation

Scalable and Differentially Private Distributed Aggregation in the Shuffled Model

Authors: Badih Ghazi, Rasmus Pagh, Ameya Velingker | Published: 2019-06-19 | Updated: 2019-12-02
Data Extraction and Analysis
Privacy Protection
Federated Learning

Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings

Authors: Pantelis Elinas, Edwin V. Bonilla, Louis Tiao | Published: 2019-06-05 | Updated: 2020-10-21
Data Extraction and Analysis
Poisoning
Deep Learning Technology