Zen: LSTM-based generation of individual spatiotemporal cellular traffic with interactions

no code implementations • 5 Jan 2023 • Anne Josiane Kouam, Aline Carneiro Viana, Alain Tchana

Domain-wide recognized by their high value in human presence and activity studies, cellular network datasets (i. e., Charging Data Records, named CdRs), however, present accessibility, usability, and privacy issues, restricting their exploitation and research reproducibility. This paper tackles such challenges by modeling Cdrs that fulfill real-world data attributes.

Anomaly Detection

Plinius: Secure and Persistent Machine Learning Model Training

no code implementations • 7 Apr 2021 • Peterson Yuhala, Pascal Felber, Valerio Schiavoni, Alain Tchana

With the increasing popularity of cloud based machine learning (ML) techniques there comes a need for privacy and integrity guarantees for ML data.

BIG-bench Machine Learning