Disbezant: secure and robust federated learning against byzantine attack in iot-enabled mts
With the intelligentization of Maritime Transportation System (MTS), Internet of Thing (IoT)
and machine learning technologies have been widely used to achieve the intelligent control …
and machine learning technologies have been widely used to achieve the intelligent control …
PDLM: Privacy-preserving deep learning model on cloud with multiple keys
Deep learning has aroused a lot of attention and has been used successfully in many
domains, such as accurate image recognition and medical diagnosis. Generally, the training …
domains, such as accurate image recognition and medical diagnosis. Generally, the training …
ARMOR: A trust-based privacy-preserving framework for decentralized friend recommendation in online social networks
Friend recommendation in online social networks (OSNs) has recently experienced rapid
development and received much research attention. Existing recommender systems on the …
development and received much research attention. Existing recommender systems on the …
Enhanced review-based rating prediction by exploiting aside information and user influence
User-generated reviews greatly supplement the descriptions of items and thereby play an
important role in decision making. Researchers have been exploiting these invaluable …
important role in decision making. Researchers have been exploiting these invaluable …
Differential privacy-based social network detection over spatio-temporal proximity for secure POI recommendation
With the emergence of technology, there has been a high influx of information over social
networks. Cybersecurity is thus the need of the hour. The crux of cybersecurity is network …
networks. Cybersecurity is thus the need of the hour. The crux of cybersecurity is network …
Personalized multimedia recommendation systems using higher-order tensor singular-value-decomposition
Because of rapid growth of multimedia data over the Internet, the infobesity has been
emerging in recent years. Many recommender systems (RSs) have been proposed using a …
emerging in recent years. Many recommender systems (RSs) have been proposed using a …
A jointly differentially private scheduling protocol for ridesharing services
Ridesharing services have gained tremendous popularity in recent years, benefiting the
traffic and environment of cities to a large extent. However, with the demand of ridesharing …
traffic and environment of cities to a large extent. However, with the demand of ridesharing …
When differential privacy meets randomized perturbation: a hybrid approach for privacy-preserving recommender system
Privacy risks of recommender systems have caused increasing attention. Users' private data
is often collected by probably untrusted recommender system in order to provide high …
is often collected by probably untrusted recommender system in order to provide high …
Point-of-interest recommendation with user's privacy preserving in an iot environment
With the popularization of smart devices and the rapid development of Internet of Things
(IoT), location-based social networks (LBSNs) are growing rapidly. As a crucial personalized …
(IoT), location-based social networks (LBSNs) are growing rapidly. As a crucial personalized …
A systematic review of privacy techniques in recommendation systems
TB Ogunseyi, CB Avoussoukpo, Y Jiang - International Journal of …, 2023 - Springer
The problem of information overload and the necessity for precise information retrieval has
led to the extensive use of recommendation systems (RS). However, ensuring the privacy of …
led to the extensive use of recommendation systems (RS). However, ensuring the privacy of …