Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
Secure statistical databases with random sample queries
ACM Transactions on Database Systems (TODS)
Revealing information while preserving privacy
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Limiting privacy breaches in privacy preserving data mining
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Practical privacy: the SuLQ framework
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
ICALP'06 Proceedings of the 33rd international conference on Automata, Languages and Programming - Volume Part II
Our data, ourselves: privacy via distributed noise generation
EUROCRYPT'06 Proceedings of the 24th annual international conference on The Theory and Applications of Cryptographic Techniques
Calibrating noise to sensitivity in private data analysis
TCC'06 Proceedings of the Third conference on Theory of Cryptography
Itemset frequency satisfiability: Complexity and axiomatization
Theoretical Computer Science
New Efficient Attacks on Statistical Disclosure Control Mechanisms
CRYPTO 2008 Proceedings of the 28th Annual conference on Cryptology: Advances in Cryptology
Hiding Frequent Patterns under Multiple Sensitive Thresholds
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Detecting privacy violations in database publishing using disjoint queries
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Proceedings of the 18th ACM conference on Information and knowledge management
Privacy-preserving data publishing: A survey of recent developments
ACM Computing Surveys (CSUR)
Airavat: security and privacy for MapReduce
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
P4P: practical large-scale privacy-preserving distributed computation robust against malicious users
USENIX Security'10 Proceedings of the 19th USENIX conference on Security
Quantifying privacy violations
SDM'11 Proceedings of the 8th VLDB international conference on Secure data management
The power of the dinur-nissim algorithm: breaking privacy of statistical and graph databases
PODS '12 Proceedings of the 31st symposium on Principles of Database Systems
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Cryptographic techniques for reasoning about information leakage have recently been brought to bear on the classical problem of statistical disclosure control – revealing accurate statistics about a population while preserving the privacy of individuals. This new perspective has been invaluable in guiding the development of a powerful approach to private data analysis, founded on precise mathematical definitions, and yielding algorithms with provable, meaningful, privacy guarantees.