Data Generation

Private data sharing between decentralized users through the privGAN architecture

Authors: Jean-Francois Rajotte, Raymond T Ng | Published: 2020-09-14
Data Generation
Privacy Protection
Ethical Considerations

MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models

Authors: Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan Lavista Ferres | Published: 2020-09-11 | Updated: 2022-10-12
Data Generation
Membership Disclosure Risk
Evaluation Method

Attribute Privacy: Framework and Mechanisms

Authors: Wanrong Zhang, Olga Ohrimenko, Rachel Cummings | Published: 2020-09-08 | Updated: 2021-05-11
Data Generation
Cryptography
Machine Learning Technology

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models

Authors: Thai Le, Suhang Wang, Dongwon Lee | Published: 2020-09-01 | Updated: 2020-09-27
Data Generation
Text Generation Method
Adversarial attack

A3Ident: A Two-phased Approach to Identify the Leading Authors of Android Apps

Authors: Wei Wang, Guozhu Meng, Haoyu Wang, Kai Chen, Weimin Ge, Xiaohong Li | Published: 2020-08-31
Data Generation
Module Reconfiguration
Author Identification Method

Imitation Privacy

Authors: Xun Xian, Xinran Wang, Mingyi Hong, Jie Ding, Reza Ghanadan | Published: 2020-08-30
Data Generation
Information Hiding Techniques
Adversarial attack

Every Query Counts: Analyzing the Privacy Loss of Exploratory Data Analyses

Authors: Saskia Nuñez von Voigt, Mira Pauli, Johanna Reichert, Florian Tschorsch | Published: 2020-08-27
Data Generation
Privacy Loss Analysis
Privacy Assessment

On the Intrinsic Differential Privacy of Bagging

Authors: Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong | Published: 2020-08-22
Data Generation
Information-Theoretic Evaluation
Machine Learning Algorithm

PicoDomain: A Compact High-Fidelity Cybersecurity Dataset

Authors: Craig Laprade, Benjamin Bowman, H. Howie Huang | Published: 2020-08-20
Data Generation
Information Leakage Analysis
Anomaly Detection Method

Simulated Blockchains for Machine Learning Traceability and Transaction Values in the Monero Network

Authors: Nathan Borggren, Hyoung-yoon Kim, Lihan Yao, Gary Koplik | Published: 2020-01-12
Data Generation
Data Management System
Machine Learning