Differential privacy techniques for cyber physical systems: A survey

MU Hassan, MH Rehmani… - … Communications Surveys & …, 2019 - ieeexplore.ieee.org
Modern cyber physical systems (CPSs) has widely being used in our daily lives because of
development of information and communication technologies (ICT). With the provision of …

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 …

Differentially private data publishing and analysis: A survey

T Zhu, G Li, W Zhou, SY Philip - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Differential privacy is an essential and prevalent privacy model that has been widely
explored in recent decades. This survey provides a comprehensive and structured overview …

Differentially private machine learning using a random forest classifier

I Nerurkar, C Hockenbrocht, L Damewood… - US Patent …, 2020 - Google Patents
A request from a client is received to generate a differentially private random forest classifier
trained using a set of restricted data. The differentially private random forest classifier is …

Differentially private histogram publication

J Xu, Z Zhang, X **ao, Y Yang, G Yu, M Winslett - The VLDB journal, 2013 - Springer
Differential privacy (DP) is a promising scheme for releasing the results of statistical queries
on sensitive data, with strong privacy guarantees against adversaries with arbitrary …

Differentially private transit data publication: a case study on the montreal transportation system

R Chen, BCM Fung, BC Desai… - Proceedings of the 18th …, 2012 - dl.acm.org
With the wide deployment of smart card automated fare collection (SCAFC) systems, public
transit agencies have been benefiting from huge volume of transit data, a kind of sequential …

Differentially private event sequences over infinite streams

G Kellaris, S Papadopoulos, X **ao, D Papadias - 2014 - dr.ntu.edu.sg
Numerous applications require continuous publication of statistics for monitoring purposes,
such as real-time traffic analysis, timely disease outbreak discovery, and social trends …

Differentially private sequential data publication via variable-length n-grams

R Chen, G Acs, C Castelluccia - … of the 2012 ACM conference on …, 2012 - dl.acm.org
Sequential data is being increasingly used in a variety of applications. Publishing sequential
data is of vital importance to the advancement of these applications. However, as shown by …

DPT: differentially private trajectory synthesis using hierarchical reference systems

X He, G Cormode, A Machanavajjhala… - Proceedings of the …, 2015 - wrap.warwick.ac.uk
GPS-enabled devices are now ubiquitous, from airplanes and cars to smartphones and
wearable technology. This has resulted in a wealth of data about the movements of …

Locally differentially private analysis of graph statistics

J Imola, T Murakami, K Chaudhuri - 30th USENIX security symposium …, 2021 - usenix.org
Differentially private analysis of graphs is widely used for releasing statistics from sensitive
graphs while still preserving user privacy. Most existing algorithms however are in a …