Tools for privacy preserving distributed data mining

Fast algorithms for mining association rules

Agrawal, R., & Srikant, R. (1998) · Cited by 11,362

Fast Algorithms for Mining Association Rules in Large Databases

Agrawal, R., & Srikant, R. (1994) · Very Large Data Bases · Cited by 9,454

How to play ANY mental game

Goldreich, O., Micali, S., & Wigderson, A. (1987) · Proceedings of the nineteenth annual ACM conference on Theory of computing - STOC '87 · doi:10.1145/28395.28420 · Cited by 3,590

Privacy-preserving data mining

Agrawal, R., & Srikant, R. (2000) · ACM SIGMOD Record · doi:10.1145/335191.335438 · Cited by 3,009

How to generate and exchange secrets

Yao, A. (1986) · 27th Annual Symposium on Foundations of Computer Science (sfcs 1986) · doi:10.1109/sfcs.1986.25 · Cited by 2,281

Privacy-preserving data mining

Agrawal, R., & Srikant, R. (2000) · Proceedings of the 2000 ACM SIGMOD international conference on Management of data · doi:10.1145/342009.335438 · Cited by 1,719

An improved algorithm for computing logarithms overGF(p)and its cryptographic significance (Corresp.)

Pohlig, S., & Hellman, M. (1978) · IEEE Transactions on Information Theory · doi:10.1109/tit.1978.1055817 · Cited by 1,199

Privacy Preserving Data Mining

Lindell, Y., & Pinkas, B. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-44598-6_3 · Cited by 1,077

Privacy preserving association rule mining in vertically partitioned data

Vaidya, J., & Clifton, C. (2002) · Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/775047.775142 · Cited by 1,001

Privacy-preserving distributed mining of association rules on horizontally partitioned data

Clifton, C., Kantarcioglu, M., Clifton, C., & Member, S. (2010) · Cited by 888

L -diversity: Privacy beyond k -anonymity

Machanavajjhala, A., Kifer, D., Gehrke, J., & Venkitasubramaniam, M. (2007) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/1217299.1217302 · Cited by 3,617

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 2,436

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

Smooth sensitivity and sampling in private data analysis

Kobbi Nissim, B., Raskhodnikova, S., & Smith, A. (2007) · ACM Symposium on Theory of Computing (STOC) · doi:10.1145/1250790.1250803 · Cited by 1,038

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 820

Information Security in Big Data: Privacy and Data Mining

Xu, L., Jiang, C., Wang, J., Yuan, J., & Ren, Y. S. (2014) · IEEE Access · doi:10.1109/access.2014.2362522 · Cited by 648

Differential Privacy Techniques for Cyber Physical Systems: A Survey

Hassan, M. U., Rehmani, M. H., & Chen, J. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2944748 · Cited by 564

Random projection-based multiplicative data perturbation for privacy preserving distributed data mining

Liu, K., Kargupta, H., & Ryan, J. (2006) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2006.14 · Cited by 558

Distributed Sparse Linear Regression

Mateos, G., Bazerque, J. A., & Giannakis, G. B. (2010) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2010.2055862 · Cited by 535

Machine Learning Models that Remember Too Much

Song, C., Ristenpart, T., & Shmatikov, V. (2017) · Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/3133956.3134077 · Cited by 526

A General Survey of Privacy-Preserving Data Mining Models and Algorithms

Aggarwal, C. C., & Yu, P. S. (2008) · The Kluwer international series on advances in database systems · doi:10.1007/978-0-387-70992-5_2 · Cited by 481

Deriving private information from randomized data

Huang, Z., Du, W. K., & Chen, B. (2005) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/1066157.1066163 · Cited by 407

Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification

Du, W. K., Han, Y. S., & Chen, S. (2004) · SIAM International Conference on Data Mining · doi:10.1137/1.9781611972740.21 · Cited by 376

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

Privacy-Preserving Data Mining: Methods, Metrics, and Applications

Mendes, R., & Vilela, J. P. (2017) · IEEE Access · doi:10.1109/access.2017.2706947 · Cited by 305

A taxonomy of privacy-preserving record linkage techniques

Vatsalan, D., Christen, P., & Verykios, V. S. (2013) · Information Systems · doi:10.1016/j.is.2012.11.005 · Cited by 295

Privacy Preserving Naïve Bayes Classifier for Vertically Partitioned Data

Vaidya, J. S., & Clifton, C. (2004) · SIAM International Conference on Data Mining · doi:10.1137/1.9781611972740.59 · Cited by 262

Privacy preserving OLAP

Agrawal, R., Srikant, R., & Thomas, D. (2005) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/1066157.1066187 · Cited by 241

Privacy-Preserving Patient-Centric Clinical Decision Support System on Naïve Bayesian Classification

Liu, X., Lu, R., Ma, J., Chen, L., & Qin, B. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2407157 · Cited by 238

k-Nearest Neighbor Classification over Semantically Secure Encrypted Relational Data

Samanthula, B. K., Elmehdwi, Y., & Jiang, W. (2014) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2014.2364027 · Cited by 217

Privacy-preserving data integration and sharing

Clifton, C., Kantarcıoğlu, M., Doan, A., Schadow, G., Vaidya, J. S., Elmagarmid, A. K., & Suciu, D. M. (2004) · ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD) · doi:10.1145/1008694.1008698 · Cited by 188

Privacy preserving schema and data matching

Scannapieco, M., Figotin, I., Bertino, E., & Elmagarmid, A. K. (2007) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/1247480.1247553 · Cited by 186

AnonymousNet: Natural Face De-Identification With Measurable Privacy

Li, T., & Lin, L. (2019) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2019.00013 · Cited by 175

A scalable modular convex solver for regularized risk minimization

Teo, C. H., Smola, A. J., Vishwanathan, S. V. N., & Le, Q. V. (2007) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1281192.1281270 · Cited by 171

Randomization in privacy preserving data mining

Evfimievski, A. (2002) · ACM SIGKDD Explorations Newsletter · doi:10.1145/772862.772869 · Cited by 164

Private record matching using differential privacy

İnan, A., Kantarcıoğlu, M., Ghinita, G., & Bertino, E. (2010) · International Conference on Extending Database Technology (EDBT) · doi:10.1145/1739041.1739059 · Cited by 165

Privacy-Preserving Record Linkage for Big Data: Current Approaches and Research Challenges

Vatsalan, D., Sehili, Z., Christen, P., & Rahm, E. (2017) · Springer eBooks · doi:10.1007/978-3-319-49340-4_25 · Cited by 170

Privacy-Preserving Graph Algorithms in the Semi-honest Model

Brickell, J., & Shmatikov, V. (2005) · Lecture notes in computer science · doi:10.1007/11593447_13 · Cited by 156

Protection and Retrieval of Encrypted Multimedia Content: When Cryptography Meets Signal Processing

Erkin, Z., Piva, A., Katzenbeisser, S., Lagendijk, R. L., Shokrollahi, J., Neven, G., & Barni, M. (2007) · EURASIP Journal on Information Security · doi:10.1155/2007/78943 · Cited by 154

Privacy preserving regression modelling via distributed computation

Sanil, A. P., Karr, A. F., Lin, X., & Reiter, J. P. (2004) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1014052.1014139 · Cited by 147

Data mining in distributed environment: a survey

Gan, W., Lin, J. C., Chao, H., & Zhan, J. Z. (2017) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1216 · Cited by 152

A Comprehensive Comparison of Multiparty Secure Additions with Differential Privacy

Goryczka, S., & Xiong, L. (2015) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2015.2484326 · Cited by 147

Privacy preserving decision tree learning over multiple parties

Emekçi, F., Sahin, O. D., Agrawal, D., & Abbadi, A. E. (2007) · Data & Knowledge Engineering · doi:10.1016/j.datak.2007.02.004 · Cited by 142

Distributed Data Mining on Grids: Services, Tools, and Applications

Cannataro, M., Congiusta, A., Pugliese, A., Talia, D., & Paolo Trunfio, A. (2004) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2004.836890 · Cited by 137

Centralized and Distributed Anonymization for High-Dimensional Healthcare Data

Mohammed, N., Fung, B. C. M., Hung, P. C. K., & Lee, C. K. (2010) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/1857947.1857950 · Cited by 137

A Survey of Self-Sovereign Identity Ecosystem

Soltani, R., Nguyen, U. T., & An, A. (2021) · Security and Communication Networks · doi:10.1155/2021/8873429 · Cited by 131

Privacy-preserving data mining: why, how, and when

Vaidya, J. S., & Clifton, C. (2004) · IEEE Security & Privacy · doi:10.1109/msp.2004.108 · Cited by 131

Privacy-preserving data aggregation without secure channel: Multivariate polynomial evaluation

Jung, T., Mao, X., Li, X., Tang, S., Gong, W., & Zhang, L. (2013) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2013.6567071 · Cited by 121

Handicapping attacker's confidence: an alternative to k-anonymization

Wang, K., Fung, B. C. M., & Yu, P. S. (2006) · Knowledge and Information Systems · doi:10.1007/s10115-006-0035-5 · Cited by 123

Privacy Preserving Data Mining Techniques: Current Scenario and Future Prospects

Malik, M. B., ghazi, M., & Ali, R. (2012) · International Conference on Computer and Communication Technology · doi:10.1109/iccct.2012.15 · Cited by 118

Template-Based Privacy Preservation in Classification Problems

Wang, K., Fung, B. C. M., & Yu, P. S. (2006) · Proceedings · doi:10.1109/icdm.2005.142 · Cited by 115

Lifespan Perspective on Congenital Heart Disease Research

Diller, G., Arvanitaki, A., Opotowsky, A. R., Jenkins, K. J., Moons, P., Kempny, A., Tandon, A. A., Redington, A. N., Khairy, P., Mital, S. R., et al. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2021.03.012 · Cited by 114

Privacy-preserving Kruskal–Wallis test

Guo, S., Zhong, S., & Zhang, A. (2013) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2013.05.023 · Cited by 112

Data mining in educational technology classroom research: Can it make a contribution?

Angeli, C., Howard, S. K., Ma, J., Yang, J., & Kirschner, P. A. (2017) · Computers & Education · doi:10.1016/j.compedu.2017.05.021 · Cited by 114

Exact Knowledge Hiding through Database Extension

Gkoulalas-Divanis, A., & Verykios, V. S. (2008) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2008.199 · Cited by 110

Secure Multiparty Quantum Computation for Summation and Multiplication

Shi, R., Mu, Y., Zhong, H., Cui, J., & Zhang, S. (2016) · Scientific Reports · doi:10.1038/srep19655 · Cited by 110

Anonymity preserving pattern discovery

Atzori, M., Bonchi, F., Giannotti, F., & Pedreschi, D. (2006) · The VLDB Journal · doi:10.1007/s00778-006-0034-x · Cited by 109

Distributed data mining and agents

da Silva, J. C., Giannella, C. R., Bhargava, R., Kargupta, H., & Klusch, M. (2005) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2005.06.004 · Cited by 109

Efficient Privacy-Preserving k-Nearest Neighbor Search

Qi, Y., & Atallah, M. J. (2008) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2008.79 · Cited by 109

A privacy-preserving technique for Euclidean distance-based mining algorithms using Fourier-related transforms

Mukherjee, S., Chen, Z., & Gangopadhyay, A. (2006) · The VLDB Journal · doi:10.1007/s00778-006-0010-5 · Cited by 106

A Survey of Big Data Security and Privacy Preserving

Fang, W., Wen, X. Z., Zheng, Y., & Zhou, M. L. (2016) · IETE Technical Review · doi:10.1080/02564602.2016.1215269 · Cited by 108

Secret Handshakes with Dynamic and Fuzzy Matching.

Ateniese, G., Kirsch, J., & Blanton, M. (2007) · IRIS Research product catalog (Sapienza University of Rome) · Cited by 101

Enabling Multilevel Trust in Privacy Preserving Data Mining

Li, Y., Chen, M., Li, Q., & Zhang, W. (2011) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2011.124 · Cited by 102

Privacy-Preserving Machine Learning Algorithms for Big Data Systems

Xu, K., Yue, H., Guo, L., Guo, Y., & Fang, Y. M. (2015) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2015.40 · Cited by 102

Efficient privacy preservation of big data for accurate data mining

Chamikara, M. A. P., Bertök, P., Liu, D., Camtepe, S. A., & Khalil, I. (2019) · Information Sciences · doi:10.1016/j.ins.2019.05.053 · Cited by 99

Privacy-preserving sharing and correction of security alerts

Lincoln, P. D., Porras, P. A., & Shmatikov, V. (2004) · USENIX Security Symposium · Cited by 99

Internet of things and privacy preserving technologies

Oleshchuk, V. A. (2009) · International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology · doi:10.1109/wirelessvitae.2009.5172470 · Cited by 99

New Efficient Attacks on Statistical Disclosure Control Mechanisms

Dwork, C., & Yekhanin, S. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85174-5_26 · Cited by 101

Shrinkwrap

Bater, J., He, X., Ehrich, W., Machanavajjhala, A., & Rogers, J. (2018) · Proceedings of the VLDB Endowment · doi:10.14778/3291264.3291274 · Cited by 97

Scalable and Parallel Boosting with MapReduce

Palit, I., & Reddy, C. K. (2011) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2011.208 · Cited by 96

A sanitization approach for hiding sensitive itemsets based on particle swarm optimization

Lin, J. C., Liu, Q., Fournier‐Viger, P., Hong, T., Vozn̆ák, M., & Zhan, J. (2016) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2016.03.007 · Cited by 97

Collusion-Tolerable Privacy-Preserving Sum and Product Calculation without Secure Channel

Jung, T., Li, X., & Wan, M. (2014) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2014.2309134 · Cited by 95

Comprehensive Survey on Big Data Privacy Protection

Binjubeir, M., Ahmed, A. A., Ismail, M. A., Sadiq, A. S., & Khan, M. K. (2019) · IEEE Access · doi:10.1109/access.2019.2962368 · Cited by 100

Privacy-Preserving Reputation Systems Based on Blockchain and Other Cryptographic Building Blocks: A Survey

Hasan, O., Brunie, L., & Bertino, E. (2022) · ACM Computing Surveys · doi:10.1145/3490236 · Cited by 92

An efficient CNN based epileptic seizures detection framework using encrypted EEG signals for secure telemedicine applications

Shoka, A. A. E., Dessouky, M. M., El‐Sayed, A., & Hemdan, E. E. (2022) · Alexandria Engineering Journal · doi:10.1016/j.aej.2022.10.014 · Cited by 92

Efficiency-Fairness Trade-off in Privacy-Preserving Autonomous Demand Side Management

Baharlouei, Z., & Hashemi, M. R. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2296714 · Cited by 92

The applicability of the perturbation based privacy preserving data mining for real-world data

Liu, L., Kantarcıoğlu, M., & Thuraisingham, B. M. (2007) · Data & Knowledge Engineering · doi:10.1016/j.datak.2007.06.011 · Cited by 92

A distributed ensemble approach for mining healthcare data under privacy constraints

Li, Y., Bai, C., & Reddy, C. K. (2015) · Information Sciences · doi:10.1016/j.ins.2015.10.011 · Cited by 90

Privacy-preserving ridge regression on distributed data

Chen, Y.-R., Rezapour, A., & Tzeng, W.-G. (2018) · Information Sciences · doi:10.1016/j.ins.2018.03.061 · Cited by 88

Distributed privacy preserving k-means clustering with additive secret sharing

Doğanay, M. C., Pedersen, T. B., Saygın, Y., Savaş, E., & Levi, A. W. (2008) · doi:10.1145/1379287.1379291 · Cited by 88

Privacy Preserving Query Processing Using Third Parties

Emekçi, F., Agrawal, D., Abbadi, A. E., & Gulbeden, A. (2006) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2006.116 · Cited by 86

A survey of privacy-preserving mechanisms for heterogeneous data types

Cunha, M., Mendes, R., & Vilela, J. P. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100403 · Cited by 86

Privacy-Preserving Data Mining Systems

Zhang, N., & Zhao, W. (2007) · Computer · doi:10.1109/mc.2007.142 · Cited by 83

Secure and scalable deduplication of horizontally partitioned health data for privacy-preserving distributed statistical computation

Yigzaw, K. Y., Michalas, A., & Bellika, J. G. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-016-0389-x · Cited by 82

Distributed Anonymization: Achieving Privacy for Both Data Subjects and Data Providers

Jurczyk, P., & Xiong, L. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-03007-9_13 · Cited by 79

A survey on federated learning in data mining

Yu, B., Mao, W., Lv, Y., Zhang, C. B. C., & Xie, Y. (2021) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · doi:10.1002/widm.1443 · Cited by 78

A Tree-Based Data Perturbation Approach for Privacy-Preserving Data Mining

Li, X., & Sarkar, S. (2006) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2006.136 · Cited by 78

Hiding informative association rule sets

Wang, S.-L., Parikh, B., & Jafari, A. A. (2006) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.05.022 · Cited by 77

Privacy Preserving Data Sharing With Anonymous ID Assignment

Dunning, L. A., & Kresman, R. (2012) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2012.2235831 · Cited by 77

Modern Privacy-Preserving Record Linkage Techniques: An Overview

Gkoulalas-Divanis, A., Vatsalan, D., Karapiperis, D., & Kantarcıoğlu, M. (2021) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2021.3114026 · Cited by 82

Attribute-centric anonymization scheme for improving user privacy and utility of publishing e-health data

Majeed, A. (2018) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2018.03.014 · Cited by 74

Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework

Kargupta, H., Das, K., & Liu, K. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74976-9_54 · Cited by 72

Security issues in MANET: A review

Sheikh, R., Chande, M. S., & Mishra, D. K. (2010) · IFIP International Conference on Wireless and Optical Communications Networks (WOCN) · doi:10.1109/wocn.2010.5587317 · Cited by 72

Efficient anonymity-preserving data collection

Brickell, J., & Shmatikov, V. (2006) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1150402.1150415 · Cited by 73

A novel behavioral real time pricing scheme for the active energy consumers’ participation in emerging flexibility markets

Steriotis, K., Τσαούσογλου, Γ., Efthymiopoulos, N., Makris, P., & Varvarigos, E. (2018) · Sustainable Energy Grids and Networks · doi:10.1016/j.segan.2018.05.002 · Cited by 70

Protecting Privacy of Users in Brain-Computer Interface Applications

Agarwal, A., Dowsley, R., McKinney, N. D., Wu, D., Lin, C., Cock, M. D., & Nascimento, A. C. A. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2926965 · Cited by 70

A Blockchain-Based Dual-Side Privacy-Preserving Multiparty Computation Scheme for Edge-Enabled Smart Grid

Guan, Z., Zhou, X. M., Liu, P., Wu, L., & Yang, W. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3061107 · Cited by 69

Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey

Husnoo, M. A., Anwar, A., Chakrabortty, R. K., Doss, R., & Ryan, M. J. (2021) · IEEE Access · doi:10.1109/access.2021.3124309 · Cited by 74

Secure collaboration in global design and supply chain environment: Problem analysis and literature review

Zeng, Y., Wang, L., Deng, X., Cao, X., & Khundker, N. (2012) · Computers in Industry · doi:10.1016/j.compind.2012.05.001 · Cited by 68

Quantum protocols for secure multi-party summation

Ji, Z., Zhang, H., Wang, H., Wu, F., Jia, J., & Wu, W. (2019) · Quantum Information Processing · doi:10.1007/s11128-018-2141-1 · Cited by 66

Anonymity meets game theory: secure data integration with malicious participants

Mohammed, N., Fung, B. C. M., & Debbabi, M. (2010) · The VLDB Journal · doi:10.1007/s00778-010-0214-6 · Cited by 66

Privacy Preserving Nearest Neighbor Search

Shaneck, M., Kim, Y., & Kumar, V. (2006) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw.2006.133 · Cited by 66

Privacy-aware regression modeling of participatory sensing data

Ahmadi, H., Pham, N., Ganti, R., Abdelzaher, T., Nath, S., & Han, J. (2010) · ACM Conference on Embedded Networked Sensor Systems (SenSys) · doi:10.1145/1869983.1869994 · Cited by 66

Sovereign Joins

Agrawal, R., Asonov, D., Kantarcıoğlu, M., & Li, Y. (2006) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2006.144 · Cited by 66

Efficient, Differentially Private Point EstimatorsPreprint

Smith, A. (2008) · arXiv (Cornell University) · doi:10.48550/arxiv.0809.4794 · Cited by 76

A Robust Sampling-Based Framework for Privacy Preserving OLAP

Cuzzocrea, A., Russo, V., & Saccà, D. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85836-2_10 · Cited by 64

Privacy-preserving back-propagation and extreme learning machine algorithms

Samet, S., & Miri, A. (2012) · Data & Knowledge Engineering · doi:10.1016/j.datak.2012.06.001 · Cited by 64

Secure Two-Party Differentially Private Data Release for Vertically Partitioned Data

Mohammed, N., Alhadidi, D., Fung, B. C. M., & Debbabi, M. (2013) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2013.22 · Cited by 65

Secure multiparty aggregation with differential privacy

Goryczka, S., Xiong, L., & Sunderam, V. S. (2013) · EDBT/ICDT Workshops · doi:10.1145/2457317.2457343 · Cited by 66

Demand-side management in residential community realizing sharing economy with bidirectional PEV while additionally considering commercial area

Cheng, P.-H., Huang, T.-H., Chien, Y.-W., Wu, C.-L., Tai, C.-S., & Fu, L. (2019) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2019.105512 · Cited by 64

Research on Distributed Privacy-Preserving Data Mining

Jia, Z., -, L. P., -, S. L., -, Y. X., & Zhang, M. (2012) · Journal of Convergence Information Technology · doi:10.4156/jcit.vol7.issue1.43 · Cited by 4

A cryptographic study of privacy-preserving data mining in distributed environment

蘇, 春. (2009)

A Survey of Privacy Preserving Distributed Data Mining

Zhang, G. (2006) · Computer Knowledge and Technology

ADVANCE SOLUTION FOR PRIVACY PRESERVING IN DISTRIBUTED DATA MINING

Raut, A., Sherekar, S. S., & Thakare, D. V. M. (2019) · Journal of Emerging Technologies and Innovative Research

A Utility-Aware Privacy Preserving Framework For Distributed Data Mining With Worst Case Privacy Guarantee

Banerjee, M. (2011) · doi:10.13016/m2nx17 · Cited by 1