A low cost and un-cancelled laplace noise based differential privacy algorithm for spatial decompositions

k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY

SWEENEY, L. (2002) · International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems · doi:10.1142/s0218488502001648 · Cited by 8,571 · see citing works

R-trees

Guttman, A. (1984) · Proceedings - ACM-SIGMOD International Conference on Management of Data · doi:10.1145/602259.602266 · Cited by 6,611 · see citing works

The Algorithmic Foundations of Differential Privacy

Dwork, C., & Roth, A. (2014) · Foundations and Trends® in Theoretical Computer Science · doi:10.1561/0400000042 · Cited by 5,557 · see citing works

The Algorithmic Foundations of Differential Privacy

Dwork, C., & Roth, A. (2013) · doi:10.1561/9781601988195 · Cited by 3,856 · see citing works

Differential Privacy: A Survey of Results

Dwork, C. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-79228-4_1 · Cited by 3,542 · see citing works

t-Closeness: Privacy Beyond k-Anonymity and l-Diversity

Li, N., Li, T., & Venkatasubramanian, S. (2007) · 2007 IEEE 23rd International Conference on Data Engineering · doi:10.1109/icde.2007.367856 · Cited by 3,451 · see citing works

L-diversity: privacy beyond k-anonymity

Machanavajjhala, A., Gehrke, J. E., Kifer, D., & Venkitasubramaniam, M. (2006) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2006.1 · Cited by 2,397 · see citing works

Privacy-preserving data publishing: A survey of recent developments

Fung, B. C. M., Wang, K., Chen, R., & Yu, P. S. (2010) · ACM Computing Surveys · doi:10.1145/1749603.1749605 · Cited by 1,704 · cited 1× · see citing works

R-trees

Guttman, A. (1984) · ACM SIGMOD Record · doi:10.1145/971697.602266 · Cited by 1,616 · see citing works

A Linear-Time Algorithm for Finding Tree-Decompositions of Small Treewidth

Bodlaender, H. L. (1996) · SIAM Journal on Computing · doi:10.1137/s0097539793251219 · Cited by 1,566 · see citing works

Towards Sharp Inapproximability For Any 2-CSP

Austrin, P. (2007) · Annual Symposium on Foundations of Computer Science · doi:10.1109/focs.2007.41 · Cited by 1,339 · see citing works

A firm foundation for private data analysis

Dwork, C. (2010) · Communications of the ACM · doi:10.1145/1866739.1866758 · Cited by 858 · see citing works

State-of-the-art in privacy preserving data mining

Verykios, V. S., Bertino, E., Fovino, I. N., Provenza, L. P., Saygın, Y., & Theodoridis, Y. (2004) · ACM SIGMOD Record · doi:10.1145/974121.974131 · Cited by 810 · see citing works

Differentially private recommender systems

McSherry, F., & Mironov, I. (2009) · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1557019.1557090 · Cited by 676 · see citing works

Data mining with differential privacy

Friedman, A., & Schuster, A. (2010) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1835804.1835868 · Cited by 471 · see citing works

Differentially Private Spatial Decompositions

Cormode, G., Procopiuc, C. M., Srivastava, D., Shen, E., & Yu, T. (2012) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2012.16 · Cited by 412 · see citing works

Differential Privacy via Wavelet Transforms

Xiao, X., Wang, G., & Gehrke, J. E. (2010) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2010.247 · Cited by 373 · see citing works

Differentially private data release for data mining

Mohammed, N., Chen, R., Fung, B. C. M., & Yu, P. S. (2011) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2020408.2020487 · Cited by 328 · see citing works

Optimizing linear counting queries under differential privacy

Li, C., Hay, M., Rastogi, V., Miklau, G., & McGregor, A. (2010) · ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS) · doi:10.1145/1807085.1807104 · Cited by 321 · see citing works

Big privacy: challenges and opportunities of privacy study in the age of big data

Yu, S. (2016) · IEEE Access · doi:10.1109/access.2016.2577036 · Cited by 307 · see citing works

A simple and practical algorithm for differentially private data releasePreprint

Hardt, M., Ligett, K., & McSherry, F. (2010) · arXiv (Cornell University) · doi:10.48550/arxiv.1012.4763 · Cited by 296 · see citing works

PrivBayes

Zhang, J., Cormode, G., Procopiuc, C. M., Srivastava, D., & Xiao, X. (2014) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/2588555.2588573 · Cited by 279 · see citing works

Differentially private grids for geospatial data

Qardaji, W., Yang, W., & Li, N. (2013) · Proceedings - International Conference on Data Engineering · doi:10.1109/icde.2013.6544872 · Cited by 265 · see citing works

Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering

Li, X., Song, J., Gao, L., Liu, X., Huang, W., He, X., & Gan, C. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33018658 · Cited by 265 · see citing works

Differentially private histogram publication

Xu, J. W., Zhang, Z., Xiao, X., Yang, Y., Yu, G., & Winslett, M. (2013) · The VLDB Journal · doi:10.1007/s00778-013-0309-y · Cited by 239 · see citing works

Differential privacy via wavelet transforms

Xiao, X., Wang, G., & Gehrke, J. E. (2010) · Proceedings - International Conference on Data Engineering · doi:10.1109/icde.2010.5447831 · Cited by 178 · see citing works

Online Task Assignment for Crowdsensing in Predictable Mobile Social Networks

Xiao, M., Wu, J., Huang, L., et al. (2016) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2016.2616473 · Cited by 166 · see citing works

PrivTree

Zhang, J., Xiao, X., & Xie, X. (2016) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/2882903.2882928 · Cited by 163 · see citing works

Private Release of Graph Statistics using Ladder Functions

Zhang, J. J., Cormode, G., Procopiuc, C. M., et al. (2015) · Proceedings - ACM-SIGMOD International Conference on Management of Data · doi:10.1145/2723372.2737785 · Cited by 117 · see citing works

Efficient task assignment in spatial crowdsourcing with worker and task privacy protection

Liu, A., Wang, W., Shang, S., Li, Q., & Zhang, X. (2017) · GeoInformatica · doi:10.1007/s10707-017-0305-2 · Cited by 113 · see citing works

An Optimal Decomposition Algorithm for Tree Edit Distance

Demaine, E. D., Mozes, S., Rossman, B., et al. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-73420-8_15 · Cited by 99 · see citing works

A Survey of Privacy Preserving Data Publishing using Generalization and Suppression

Yang, X., Ma, T., Tang, M., & Tian, W. (2014) · Applied Mathematics & Information Sciences · doi:10.12785/amis/080321 · Cited by 82 · see citing works

SRA: Secure Reverse Auction for Task Assignment in Spatial Crowdsourcing

Xiao, M., Ma, K., Liu, A., Zhao, H., Li, Z., Zheng, K., & Zhou, X. (2019) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2019.2893240 · Cited by 69 · see citing works

Privacy-Preserving Task Assignment in Spatial Crowdsourcing

Liu, A., Li, Z., Liu, G., et al. (2017) · Journal of Computer Science and Technology · doi:10.1007/s11390-017-1772-5 · Cited by 45 · see citing works

Classification by Retrieval

Shen, F., Mu, Y., Yang, Y., et al. (2017) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/3077136.3080767 · Cited by 42 · see citing works

Towards secure and truthful task assignment in spatial crowdsourcing

Zhai, D., Sun, Y., Liu, A., et al. (2018) · World Wide Web · doi:10.1007/s11280-018-0638-2 · Cited by 36 · see citing works

Kd-tree Based Nonuniform Simplification of 3D Point Cloud

Xiao, Z., & Huang, W. (2009) · International Conference on Genetic and Evolutionary Computing · doi:10.1109/wgec.2009.20 · Cited by 24 · see citing works

Federated learning meets blockchain in edge computing: Opportunities and challenges

Nguyen, D. C., Ding, M., Pham, Q.-V., Pathirana, P. N., Le, L. B., Seneviratne, A., Li, J., Niyato, D., & Poor, H. V. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3072611 · Cited by 661 · see citing works

A Differential Privacy Mechanism Combining Randomized Response with Laplace Distribution

Chen, Y., Xu, Z., & Chen, J. (2021) · International Conference on Computer and Communications (ICCC) · doi:10.1109/iccc54389.2021.9674433

Evaluating Laplace Noise Addition to Satisfy Differential Privacy for Numeric Data

Sarathy, R., & Muralidhar, K. (2011) · Cited by 136 · see citing works

Three Parameter Laplace Type Bimodal Distribution

GITAM, Murty, D. V. R., rti, G. A., et al. (2018) · International Journal of Mathematics Trends and Technology · doi:10.14445/22315373/ijmtt-v57p548

The Bounded Laplace Mechanism in Differential Privacy

Holohan, N., Antonatos, S., Braghin, S., et al. (2019) · Journal of Privacy and Confidentiality · doi:10.29012/jpc.715 · Cited by 69 · see citing works

Modified Method of Moments for Generalized Laplace DistributionPreprint

Fischer, A., Gaunt, R. E., & Sarantsev, A. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2203.10775