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Private Data Aggregation on a Budget     multi-party computation  privacy  mobile       font style='font-size:12px;'> 2017/7/6
We focus on a scenario in which a single company wishes to obtain the distribution of aggregate features, while ensuring a high level of privacy for the users. We are interested in the case where user...
We introduce the notion of homomorphic proxy re-authenticators, a tool that adds security and verifiability guarantees to multi-user data aggregation scenarios. It allows distinct sources to authentic...
With the advent of networking applications collecting user data on a massive scale, the privacy of individual users appears to be a major concern. The main challenge is the design of a solution that...
Participatory sensing enables new paradigms and markets for information collection based on the ubiquitous availability of smartphones, but also introduces privacy challenges for participating users a...
Computing aggregate statistics about user data is of vital importance for a variety of services and systems, but this practice has been shown to seriously undermine the privacy of users. Differentia...
PUDA ?Privacy and Unforgeability for Data Aggregation     Privacy  Security  Data Analysis       font style='font-size:12px;'> 2015/12/29
Existing work on data collection and analysis for aggregation is mainly focused on confidentiality issues. That is, the untrusted Aggregator learns only the aggregation result without divulging indi...
Combining and analyzing data collected at multiple locations is critical for a wide variety of applications, such as detecting and diagnosing malicious attacks or computing an accurate estimate of ...

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