Local differential privacy and its applications: A comprehensive survey
With the rapid development of low-cost consumer electronics and pervasive adoption of next
generation wireless communication technologies, a tremendous amount of data has been …
generation wireless communication technologies, a tremendous amount of data has been …
Privacy-preserved and Responsible Recommenders: From Conventional Defense to Federated Learning and Blockchain
Recommender systems (RS) play an integral role in many online platforms. Exponential
growth and potential commercial interests are raising significant concerns around privacy …
growth and potential commercial interests are raising significant concerns around privacy …
Fed-DR-Filter: Using global data representation to reduce the impact of noisy labels on the performance of federated learning
The label noise is a serious problem limiting the performance of federated learning.
According to the performance evaluation for the trained federated models, data selection …
According to the performance evaluation for the trained federated models, data selection …
Hide me behind the noise: Local differential privacy for indoor location privacy
H Navidan, V Moghtadaiee, N Nazaran… - 2022 IEEE European …, 2022 - ieeexplore.ieee.org
The advent of numerous indoor location-based services (LBSs) and the widespread use of
many types of mobile devices in indoor environments have resulted in generating a massive …
many types of mobile devices in indoor environments have resulted in generating a massive …
Vehicle-based secure location clustering for IoT-equipped building and facility management in smart city
H Wu, L Li, Y Liu, X Wu - Building and Environment, 2022 - Elsevier
Vehicles equipped with various sensing devices have the strong ability to generate location
information, which is beneficial to a lot of applications in smart city. In special, it is important …
information, which is beneficial to a lot of applications in smart city. In special, it is important …
Trust Mechanism Privacy Protection Scheme Combining Blockchain and Multi-Party Evaluation
Z Shen, Y Wang, H Wang, P Liu, K Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Aiming to address issues of query request submission, data transmission leakage, and
vehicle privacy leakage caused by untrustworthy cooperating Partners (CPs) in privacy …
vehicle privacy leakage caused by untrustworthy cooperating Partners (CPs) in privacy …
An efficient privacy-preserving point-of-interest recommendation model based on local differential privacy
C Xu, X Mei, D Liu, K Zhao, AS Ding - Complex & Intelligent Systems, 2023 - Springer
With the rapid development of point-of-interest (POI) recommendation services, how to
utilize the multiple types of users' information safely and effectively for a better …
utilize the multiple types of users' information safely and effectively for a better …
Where Have You Been? A Study of Privacy Risk for Point-of-Interest Recommendation
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 …
been collected. The collected data can be used to build machine learning (ML) models for …
Location Entropy-based privacy protection algorithm for social internet of vehicles
Abstract In the Social Internet of Vehicles (SIoV), sharing data among entities is prone to
leaking private data. Protecting vehicle users privacy through encryption and anonymous …
leaking private data. Protecting vehicle users privacy through encryption and anonymous …
Local Differential Privacy for correlated location data release in ITS
KM Chong, A Malip - Computer Networks, 2024 - Elsevier
The ubiquity of location positioning devices has facilitated the implementation of various
Intelligent Transportation System (ITS) applications that generate an enormous volume of …
Intelligent Transportation System (ITS) applications that generate an enormous volume of …