Challenges and open problems of legal document anonymization
Data sharing is a central aspect of judicial systems. The openly accessible documents can
make the judiciary system more transparent. On the other hand, the published legal …
make the judiciary system more transparent. On the other hand, the published legal …
Re-identification attacks—A systematic literature review
J Henriksen-Bulmer, S Jeary - International Journal of Information …, 2016 - Elsevier
The publication of increasing amounts of anonymised open source data has resulted in a
worryingly rising number of successful re-identification attacks. This has a number of privacy …
worryingly rising number of successful re-identification attacks. This has a number of privacy …
SoK: Managing risks of linkage attacks on data privacy
J Powar, AR Beresford - Proceedings on Privacy Enhancing …, 2023 - petsymposium.org
Novel attacks on dataset privacy are usually met with the same range of responses: surprise
that a route to information gain exists from information previously thought to be safe; …
that a route to information gain exists from information previously thought to be safe; …
Fast database joins and PSI for secret shared data
We present a scalable protocol for database joins on secret shared data in the honest-
majority three-party setting. The key features of our protocol are a rich set of SQL-like …
majority three-party setting. The key features of our protocol are a rich set of SQL-like …
Database matching under column deletions
S Bakırtaş, E Erkip - 2021 IEEE International Symposium on …, 2021 - ieeexplore.ieee.org
De-anonymizing user identities by matching various forms of user data available on the
internet raises privacy concerns. A fundamental understanding of the privacy leakage in …
internet raises privacy concerns. A fundamental understanding of the privacy leakage in …
A concentration of measure approach to database de-anonymization
In this paper, matching of correlated high-dimensional databases is investigated. A
stochastic database model is considered where the correlation among the database entries …
stochastic database model is considered where the correlation among the database entries …
[PDF][PDF] Robust de-anonymization of large sparse datasets: a decade later
A Narayanan, V Shmatikov - May, 2019 - randomwalker.info
If our paper has stood the test of time, it is because the core technical insight goes back at
least 60 years: a small number of data points about an individual, none of which are …
least 60 years: a small number of data points about an individual, none of which are …
Seeded database matching under noisy column repetitions
S Bakirtas, E Erkip - 2022 IEEE Information Theory Workshop …, 2022 - ieeexplore.ieee.org
The re-identification or de-anonymization of users from anonymized data through matching
with publicly-available correlated user data has raised privacy concerns, leading to the …
with publicly-available correlated user data has raised privacy concerns, leading to the …
Toward an anonymous process mining
A Burattin, M Conti, D Turato - … on future Internet of Things and …, 2015 - ieeexplore.ieee.org
Process mining is a modern family of techniques applied to datasets generated from
business processes run in organizations, in order to improve and obtain useful insights and …
business processes run in organizations, in order to improve and obtain useful insights and …
On the feasibility of user de-anonymization from shared mobile sensor data
Underpinning many recent advances in sensing applications (eg, mHealth) is the ability to
safely collect and share mobile sensor data. Research has shown that even from seemingly …
safely collect and share mobile sensor data. Research has shown that even from seemingly …