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» The Limits of Two-Party Differential Privacy
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FOCS
2010
IEEE
13 years 2 months ago
The Limits of Two-Party Differential Privacy
We study differential privacy in a distributed setting where two parties would like to perform analysis of their joint data while preserving privacy for both datasets. Our results ...
Andrew McGregor, Ilya Mironov, Toniann Pitassi, Om...
EDBT
2012
ACM
262views Database» more  EDBT 2012»
11 years 7 months ago
The application of differential privacy to health data
Differential privacy has gained a lot of attention in recent years as a general model for the protection of personal information when used and disclosed for secondary purposes. It...
Fida Kamal Dankar, Khaled El Emam
SIGMOD
2012
ACM
278views Database» more  SIGMOD 2012»
11 years 7 months ago
Differential privacy in data publication and analysis
Data privacy has been an important research topic in the security, theory and database communities in the last few decades. However, many existing studies have restrictive assumpt...
Yin Yang, Zhenjie Zhang, Gerome Miklau, Marianne W...
EDBT
2010
ACM
181views Database» more  EDBT 2010»
13 years 3 months ago
Private record matching using differential privacy
Private matching between datasets owned by distinct parties is a challenging problem with several applications. Private matching allows two parties to identify the records that ar...
Ali Inan, Murat Kantarcioglu, Gabriel Ghinita, Eli...
FOCS
2007
IEEE
13 years 11 months ago
Mechanism Design via Differential Privacy
We study the role that privacy-preserving algorithms, which prevent the leakage of specific information about participants, can play in the design of mechanisms for strategic age...
Frank McSherry, Kunal Talwar