A survey on differential privacy for unstructured data content

Y Zhao, J Chen - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Huge amounts of unstructured data including image, video, audio, and text are ubiquitously
generated and shared, and it is a challenge to protect sensitive personal information in …

A survey of differential privacy-based techniques and their applicability to location-based services

JW Kim, K Edemacu, JS Kim, YD Chung, B Jang - Computers & Security, 2021 - Elsevier
The widespread use of mobile devices such as smartphones, tablets, and smartwatches has
led users to constantly generate various location data during their daily activities …

Constructing dummy query sequences to protect location privacy and query privacy in location-based services

Z Wu, G Li, S Shen, X Lian, E Chen, G Xu - World Wide Web, 2021 - Springer
Location-based services (LBS) have become an important part of people's daily life.
However, while providing great convenience for mobile users, LBS result in a serious …

[HTML][HTML] A survey of privacy-preserving mechanisms for heterogeneous data types

M Cunha, R Mendes, JP Vilela - Computer science review, 2021 - Elsevier
Due to the pervasiveness of always connected devices, large amounts of heterogeneous
data are continuously being collected. Beyond the benefits that accrue for the users, there …

3D geo-indistinguishability for indoor location-based services

M Min, L Xiao, J Ding, H Zhang, S Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Indoor location-based services (LBS) are widely used in large-scale indoor buildings, such
as high-rise hospitals and multi-story shopping malls. At the same time, location privacy …

Personalized location privacy with road network-indistinguishability

B Ma, X Wang, W Ni, RP Liu - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
The proliferation of location-based services (LBS) leads to increasing concern about
location privacy. Location obfuscation is a promising privacy-preserving technique but yet to …

Clustering geo-indistinguishability for privacy of continuous location traces

M Cunha, R Mendes, JP Vilela - 2019 4th International …, 2019 - ieeexplore.ieee.org
We consider privacy of obfuscated location reports that can be correlated through
time/space to estimate the real position of a user. We propose a user-centric Location …

A framework for personalized location privacy

B Niu, Q Li, H Wang, G Cao, F Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Location privacy has been one of the most important research areas over recent years, and
many location Privacy Preserving Mechanisms (PPMs) have been proposed. Each PPM …

Transparency and reproducibility in mobile sensing research

C Wrzus, R Schoedel - Mobile Sensing in Psychology: Methods …, 2023 - books.google.com
Researchers have to decide on a multitude of topics during planning, preparing, and
conducting mobile sensing studies, and then analyzing the resulting data. These decisions …

Velocity-Aware Geo-Indistinguishability

R Mendes, M Cunha, JP Vilela - … of the Thirteenth ACM Conference on …, 2023 - dl.acm.org
Location Privacy-Preserving Mechanisms (LPPMs) have been proposed to mitigate the risks
of privacy disclosure yielded from location sharing. However, due to the nature of this type of …