Privacy preservation in big data from the communication perspective—A survey
The advancement of data communication technologies promotes widespread data collection
and transmission in various application domains, thereby expanding big data significantly …
and transmission in various application domains, thereby expanding big data significantly …
[PDF][PDF] The 2020 census disclosure avoidance system topdown algorithm
JM Abowd, R Ashmead… - Harvard Data …, 2022 - assets.pubpub.org
ABSTRACT The Census TopDown Algorithm (TDA) is a disclosure avoidance system using
differential privacy for privacy-loss accounting. The algorithm ingests the final, edited version …
differential privacy for privacy-loss accounting. The algorithm ingests the final, edited version …
Security and privacy challenges in smart cities
The construction of smart cities will bring about a higher quality of life to the masses through
digital interconnectivity, leading to increased efficiency and accessibility in cities. Smart …
digital interconnectivity, leading to increased efficiency and accessibility in cities. Smart …
From group to individual labels using deep features
In many classification problems labels are relatively scarce. One context in which this occurs
is where we have labels for groups of instances but not for the instances themselves, as in …
is where we have labels for groups of instances but not for the instances themselves, as in …
Differential privacy via wavelet transforms
Privacy-preserving data publishing has attracted considerable research interest in recent
years. Among the existing solutions,∈-differential privacy provides the strongest privacy …
years. Among the existing solutions,∈-differential privacy provides the strongest privacy …
Pufferfish: A framework for mathematical privacy definitions
In this article, we introduce a new and general privacy framework called Pufferfish. The
Pufferfish framework can be used to create new privacy definitions that are customized to the …
Pufferfish framework can be used to create new privacy definitions that are customized to the …
Differentially private transit data publication: a case study on the montreal transportation system
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 …
transit agencies have been benefiting from huge volume of transit data, a kind of sequential …
Differentially private data release for data mining
Privacy-preserving data publishing addresses the problem of disclosing sensitive data when
mining for useful information. Among the existing privacy models,∈-differential privacy …
mining for useful information. Among the existing privacy models,∈-differential privacy …
Resisting structural re-identification in anonymized social networks
We identify privacy risks associated with releasing network data sets and provide an
algorithm that mitigates those risks. A network consists of entities connected by links …
algorithm that mitigates those risks. A network consists of entities connected by links …
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents.
However, any program that computes on potentially sensitive data risks leaking information …
However, any program that computes on potentially sensitive data risks leaking information …