Data Extraction and Analysis

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

Solving the “false positives” problem in fraud prediction

Authors: Roy Wedge, James Max Kanter, Santiago Moral Rubio, Sergio Iglesias Perez, Kalyan Veeramachaneni | Published: 2017-10-20
Data Extraction and Analysis
Model evaluation methods
evaluation metrics