On Rectangular Partitionings in Two Dimensions: Algorithms, Complexity, and Applications
ICDT '99 Proceedings of the 7th International Conference on Database Theory
Noise-tolerant learning, the parity problem, and the statistical query model
Journal of the ACM (JACM)
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
New Results for Learning Noisy Parities and Halfspaces
FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
The history of histograms (abridged)
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Mechanism Design via Differential Privacy
FOCS '07 Proceedings of the 48th Annual IEEE Symposium on Foundations of Computer Science
A learning theory approach to non-interactive database privacy
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Releasing search queries and clicks privately
Proceedings of the 18th international conference on World wide web
Proceedings of the forty-first annual ACM symposium on Theory of computing
On the complexity of differentially private data release: efficient algorithms and hardness results
Proceedings of the forty-first annual ACM symposium on Theory of computing
Differentially private recommender systems: building privacy into the net
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy integrated queries: an extensible platform for privacy-preserving data analysis
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Private record matching using differential privacy
Proceedings of the 13th International Conference on Extending Database Technology
Privacy-preserving data publishing: A survey of recent developments
ACM Computing Surveys (CSUR)
Differential privacy: a survey of results
TAMC'08 Proceedings of the 5th international conference on Theory and applications of models of computation
On the geometry of differential privacy
Proceedings of the forty-second ACM symposium on Theory of computing
Interactive privacy via the median mechanism
Proceedings of the forty-second ACM symposium on Theory of computing
Optimizing linear counting queries under differential privacy
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Boosting the accuracy of differentially private histograms through consistency
Proceedings of the VLDB Endowment
ICALP'06 Proceedings of the 33rd international conference on Automata, Languages and Programming - Volume Part II
Calibrating noise to sensitivity in private data analysis
TCC'06 Proceedings of the Third conference on Theory of Cryptography
Adaptive, secure, and scalable distributed data outsourcing: a vision paper
Proceedings of the 2011 workshop on Dynamic distributed data-intensive applications, programming abstractions, and systems
Uniqueness and how it impacts privacy in health-related social science datasets
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
An adaptive mechanism for accurate query answering under differential privacy
Proceedings of the VLDB Endowment
Differentially private summaries for sparse data
Proceedings of the 15th International Conference on Database Theory
The application of differential privacy to health data
Proceedings of the 2012 Joint EDBT/ICDT Workshops
Adaptive differentially private histogram of low-dimensional data
PETS'12 Proceedings of the 12th international conference on Privacy Enhancing Technologies
Real-time aggregate monitoring with differential privacy
Proceedings of the 21st ACM international conference on Information and knowledge management
Differentially private projected histograms: construction and use for prediction
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Non-interactive differential privacy: a survey
Proceedings of the First International Workshop on Open Data
Optimal error of query sets under the differentially-private matrix mechanism
Proceedings of the 16th International Conference on Database Theory
Practical differential privacy via grouping and smoothing
Proceedings of the VLDB Endowment
The geometry of differential privacy: the sparse and approximate cases
Proceedings of the forty-fifth annual ACM symposium on Theory of computing
UMicS: from anonymized data to usable microdata
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Differentially private multi-dimensional time series release for traffic monitoring
DBSec'13 Proceedings of the 27th international conference on Data and Applications Security and Privacy XXVII
A general framework for privacy preserving data publishing
Knowledge-Based Systems
Understanding hierarchical methods for differentially private histograms
Proceedings of the VLDB Endowment
Differential privacy based on importance weighting
Machine Learning
Differentially private histogram publication
The VLDB Journal — The International Journal on Very Large Data Bases
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Differential privacy is a strong notion for protecting individual privacy in privacy preserving data analysis or publishing. In this paper, we study the problem of differentially private histogram release based on an interactive differential privacy interface. We propose two multidimensional partitioning strategies including a baseline cell-based partitioning and an innovative kd-tree based partitioning. In addition to providing formal proofs for differential privacy and usefulness guarantees for linear distributive queries, we also present a set of experimental results and demonstrate the feasibility and performance of our method.