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11/23/2022
Robustness Analysis of Deep Learning Models for Population Synthesis
Deep generative models have become useful for synthetic data generation,...
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05/11/2022
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference
As the most significant data source in smart mobility systems, GPS traje...
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09/11/2021
On the Initial Behavior Monitoring Issues in Federated Learning
In Federated Learning (FL), a group of workers participate to build a gl...
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02/26/2021
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems
Federated learning (FL) is a machine learning technique that aims at tra...
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12/29/2020
A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis
In this work, we develop a privacy-by-design generative model for synthe...
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04/15/2020
Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis
Agent-based transportation modelling has become the standard to simulate...
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01/22/2019
Perturbation Privacy for Sensitive Locations in Transit Data Publication: A Case Study of Montreal Trajet Surveys
Smartphone based travel data collection has become an important tool for...
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11/23/2018