Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Liyue Fan"'
Autor:
Luca Bonomi, Liyue Fan
Publikováno v:
IEEE International Conference on Healthcare Informatics. IEEE International Conference on Healthcare Informatics. 2022
Sharing time-to-event data is beneficial for enabling collaborative research efforts (e.g., survival studies), facilitating the design of effective interventions, and advancing patient care (e.g., early diagnosis). Despite numerous privacy solutions
Autor:
Liyue Fan
Publikováno v:
2022 IEEE 4th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA).
Publikováno v:
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising.
Requiring less data for accurate models, few-shot learning has shown robustness and generality in many application domains. However, deploying few-shot models in untrusted environments may inflict privacy concerns, e.g., attacks or adversaries that m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11a45a4091593be125faf9ed75038e5a
Autor:
Dominick Reilly, Liyue Fan
Publikováno v:
2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA).
Autor:
Liyue Fan, Ishan Gote
Publikováno v:
SIGSPATIAL/GIS
The breach of users' location privacy can be catastrophic. To provide users with privacy protections, numerous location privacy methods have been developed in the last two decades. While several studies surveyed existing location privacy methods, the
Autor:
Akarsh Pokkunuru, Liyue Fan
Publikováno v:
Data and Applications Security and Privacy XXXV ISBN: 9783030812416
DBSec
DBSec
High quality network traffic data can be shared to enable knowledge discovery and advance cyber defense research. However, due to its sensitive nature, ensuring safe sharing of such data has always been a challenging problem. Current approaches for s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1ce6ec925ab8d560b8358a67286d14c
https://doi.org/10.1007/978-3-030-81242-3_1
https://doi.org/10.1007/978-3-030-81242-3_1
Publikováno v:
J Biomed Inform
Temporal medical data are increasingly integrated into the development of data-driven methods to deliver better healthcare. Searching such data for patterns can improve the detection of disease cases and facilitate the design of preemptive interventi
Autor:
Sriram Yechan Gunja, Liyue Fan
Publikováno v:
GeoRich@SIGMOD
The breach of users' location privacy can be catastrophic. To prevent privacy breaches, numerous location privacy methods have been developed in the last two decades. However, they have not been widely adopted in location-based applications. As a res
Publikováno v:
GeoInformatica. 22:845-867
The increasing popularity of location-based applications creates new opportunities for users to travel together. In this paper, we study a novel spatio-social optimization problem , i.e., Optimal Group Route, for multi-user itinerary planning. With o