Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey
With the advancement in communication techniques and sensor technologies, mobile
crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …
crowdsensing (MCS)—one of the most successful applications of crowdsourcing—has …
The long road to computational location privacy: A survey
The widespread adoption of continuously connected smartphones and tablets developed
the usage of mobile applications, among which many use location to provide geolocated …
the usage of mobile applications, among which many use location to provide geolocated …
Prio: Private, robust, and scalable computation of aggregate statistics
H Corrigan-Gibbs, D Boneh - 14th USENIX symposium on networked …, 2017 - usenix.org
This paper presents Prio, a privacy-preserving system for the collection of aggregate
statistics. Each Prio client holds a private data value (eg, its current location), and a small set …
statistics. Each Prio client holds a private data value (eg, its current location), and a small set …
Knock knock, who's there? Membership inference on aggregate location data
A Pyrgelis, C Troncoso, E De Cristofaro - arXiv preprint arXiv:1708.06145, 2017 - arxiv.org
Aggregate location data is often used to support smart services and applications, eg,
generating live traffic maps or predicting visits to businesses. In this paper, we present the …
generating live traffic maps or predicting visits to businesses. In this paper, we present the …
Flamingo: Multi-round single-server secure aggregation with applications to private federated learning
This paper introduces Flamingo, a system for secure aggregation of data across a large set
of clients. In secure aggregation, a server sums up the private inputs of clients and obtains …
of clients. In secure aggregation, a server sums up the private inputs of clients and obtains …
Unsafe exposure analysis of mobile in-app advertisements
In recent years, there has been explosive growth in smartphone sales, which is
accompanied with the availability of a huge number of smartphone applications (or simply …
accompanied with the availability of a huge number of smartphone applications (or simply …
A survey of differential privacy-based techniques and their applicability to location-based services
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 …
led users to constantly generate various location data during their daily activities …
Prio+: Privacy preserving aggregate statistics via boolean shares
S Addanki, K Garbe, E Jaffe, R Ostrovsky… - … Conference on Security …, 2022 - Springer
This paper introduces Prio+, a privacy-preserving system for the collection of aggregate
statistics, with the same model and goals in mind as the original and highly influential Prio …
statistics, with the same model and goals in mind as the original and highly influential Prio …
Divert: A distributed vehicular traffic re-routing system for congestion avoidance
Centralized solutions for vehicular traffic re-routing to alleviate congestion suffer from two
intrinsic problems: scalability, as the central server has to perform intensive computation and …
intrinsic problems: scalability, as the central server has to perform intensive computation and …
Privacy-preserving aggregate mobility data release: An information-theoretic deep reinforcement learning approach
It is crucial to protect users' location traces against inference attacks on aggregate mobility
data collected from multiple users in various real-world applications. Most of the existing …
data collected from multiple users in various real-world applications. Most of the existing …