Large scale adoption of large language models has introduced a new era of convenient knowledge transfer for a slew of natural language processing tasks. However, these models …
The growing demand for ride-hailing services has led to an increasing need for accurate taxi demand prediction. However, the use of real passenger data to train predictive models …
As location-based services (LBS) have grown in popularity, more human mobility data has been collected. The collected data can be used to build machine learning (ML) models for …
R Islam, MS Hossen, D Shin - 2022 13th International …, 2022 - ieeexplore.ieee.org
Application domains like big data and IoT require a lot of user data collected and analyzed to extract useful information, and those data might include user's sensitive and personal …
Y Bai, T Chen, M Fan - management, 2021 - ijns.jalaxy.com.tw
Nowadays, machine learning is widely used in various applications. However, machine learning models are vulnerable to various membership inference attacks (MIAs) that leak …
In this demonstration paper, we present STM: a new system for securing and management of vehicle trajectory data using a generative model that balances privacy and utility. For …
J Ge - arXiv preprint arXiv:2301.03595, 2022 - arxiv.org
With the development of information science and technology, various industries have generated massive amounts of data, and machine learning is widely used in the analysis of …
S Qiu, D Pi, Y Wang, T Xu - Journal of Ambient Intelligence and …, 2023 - Springer
With the rapid development of location-based service technology, the leakage of trajectory privacy has become more and more serious. In order to solve the problems of insufficient …
Location data is frequently collected from populations and shared in aggregate form to guide policy and decision making. However, the prevalence of aggregated data also raises the …