How Does Data Augmentation Affect Privacy in Machine Learning?
Authors: Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu | Published: 2020-07-21 | Updated: 2021-02-26
データ抽出と分析
Conditional Analysis for Key-Value Data with Local Differential Privacy
Authors: Lin Sun, Jun Zhao, Xiaojun Ye, Shuo Feng, Teng Wang, Tao Bai | Published: 2019-07-11
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
Application Inference using Machine Learning based Side Channel Analysis
Authors: Nikhil Chawla, Arvind Singh, Monodeep Kar, Saibal Mukhopadhyay | Published: 2019-07-09
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
A Bayesian Hierarchical Model for Criminal Investigations
Authors: F. O. Bunnin, J. Q. Smith | Published: 2019-07-03 | Updated: 2019-11-05
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
Methodology for the Automated Metadata-Based Classification of Incriminating Digital Forensic Artefacts
Authors: Xiaoyu Du, Mark Scanlon | Published: 2019-07-02
System Misuse Detection via Informed Behavior Clustering and Modeling
Authors: Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp | Published: 2019-07-01
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