A Survey of Privacy-Preserving Methods Across Vertically Partitioned Data

A Bayesian Method for the Induction of Probabilistic Networks from Data

Cooper, G. F., & Herskovits, E. H. (1992) · Machine Learning · doi:10.1023/a:1022649401552 · Cited by 4,194 · see citing works

Identification of Outliers

Hawkins, D. M. (1980) · doi:10.1007/978-94-015-3994-4 · Cited by 2,982 · see citing works

Outliers in Statistical Data

BARNETT, V. D., Lewis, T., & Abeles, F. F. (1979) · Physics Today · doi:10.1063/1.2995737 · Cited by 2,834 · see citing works

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 · see citing works

Efficient algorithms for mining outliers from large data sets

Ramaswamy, S., Rastogi, R. R., & Shim, K. (2000) · ACM SIGMOD Record · doi:10.1145/335191.335437 · Cited by 1,908 · see citing works

Outliers in Statistical Data.

Atkinson, A. C., BARNETT, V. D., & Lewis, T. (1995) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.2307/2983451 · Cited by 1,688 · see citing works

Algorithms for Mining Distance-Based Outliers in Large Datasets

Knorr, E. M., & Ng, R. T. (1998) · Cited by 1,526 · see citing works

Efficient Private Matching and Set Intersection

Freedman, M. J., Kobbi Nissim, B., & Benny Pinkas, B. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24676-3_1 · Cited by 1,294 · see citing works

Distance-based outliers: algorithms and applications

Knorr, E. M., Ng, R. T., & Tucakov, V. (2000) · The VLDB Journal The International Journal on Very Large Data Bases · doi:10.1007/s007780050006 · Cited by 1,195 · see citing works

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 · see citing works

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 · see citing works

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

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

A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection

Lazarević, A. M., Ertöz, L., Kumar, V., Ozgur, A., & Srivastava, J. (2003) · SIAM International Conference on Data Mining · doi:10.1137/1.9781611972733.3 · Cited by 873 · see citing works

Privacy Preserving Data Mining

Lindell, Y., & Pinkas (2002) · Journal of Cryptology · doi:10.1007/s00145-001-0019-2 · Cited by 675 · see citing works

Information sharing across private databases

Agrawal, R., Evfimievski, A., & Srikant, R. (2003) · Proceedings - ACM-SIGMOD International Conference on Management of Data · doi:10.1145/872757.872771 · Cited by 637 · see citing works

Privacy-preserving <i>k</i> -means clustering over vertically partitioned data

Vaidya, J., & Clifton, C. (2003) · Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/956750.956776 · Cited by 626 · see citing works

Privacy-preserving distributed k-means clustering over arbitrarily partitioned data

Jagannathan, G., & Wright, R. N. (2005) · doi:10.1145/1081870.1081942 · Cited by 423 · see citing works

Privacy-Preserving Data Mining

Thomas, D. (2008) · The Kluwer international series on advances in database systems · doi:10.1007/978-0-387-70992-5 · Cited by 400 · see citing works

Building decision tree classifier on private data

Du, W. K., & Zhan, Z. (2002) · Syracuse University Libraries (Syracuse University) · Cited by 353 · see citing works

Detecting Novel Network Intrusions Using Bayes Estimators

Barbará, D., Wu, N., & Jajodia, S. (2001) · SIAM International Conference on Data Mining · doi:10.1137/1.9781611972719.28 · Cited by 293 · see citing works

Privacy-preserving cooperative statistical analysis

Du, W. K., & Atallah, M. J. (2005) · Annual Computer Security Applications Conference · doi:10.1109/acsac.2001.991526 · Cited by 278 · see citing works

Efficient private bidding and auctions with an oblivious third party

Cachin, C. (1999) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/319709.319726 · Cited by 268 · see citing works

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 · see citing works

Secure set intersection cardinality with application to association rule mining

Vaidya, J. S., & Clifton, C. (2005) · Journal of Computer Security · doi:10.3233/jcs-2005-13401 · Cited by 223 · see citing works

Privacy-preserving Bayesian network structure computation on distributed heterogeneous data

Wright, R. N., & Yang, Z. (2004) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1014052.1014145 · Cited by 219 · see citing works

Privacy-Preserving Decision Trees over Vertically Partitioned Data

Vaidya, J., & Clifton, C. (2005) · Lecture Notes in Computer Science · doi:10.1007/11535706_11 · Cited by 144 · see citing works

A secure protocol for computing dot-products in clustered and distributed environments

Ioannidis, I., Grama, A. Y., & Atallah, M. J. (2003) · Proceedings of the International Conference on Parallel Processing · doi:10.1109/icpp.2002.1040894 · Cited by 118 · see citing works

Privacy-preserving algorithms for distributed mining of frequent itemsets

Zhong, S. (2006) · Information Sciences · doi:10.1016/j.ins.2006.08.010 · Cited by 91 · see citing works

Privacy-Preserving Outlier Detection

Vaidya, J. S., & Clifton, C. (2005) · Proceedings · doi:10.1109/icdm.2004.10081 · Cited by 66 · see citing works

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 · see citing works

Standards for privacy of individually identifiable health information. Final rule; correction of effective and compliance dates.

(2001) · PubMed · Cited by 17 · see citing works

Towards a Collusion-Resistant Algebraic Multi-Party Protocol for Privacy-Preserving Association Rule Mining in Vertically Partitioned Data

Trincă, D., & Rajasekaran, S. (2007) · IEEE International Performance, Computing, and Communications Conference · doi:10.1109/pccc.2007.358920 · Cited by 5 · 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 · see citing works

SecureBoost: A Lossless Federated Learning Framework

Cheng, K., Fan, T., Jin, Y., Liu, Y., Chen, T., Papadopoulos, D., & Yang, Q. (2021) · IEEE Intelligent Systems · doi:10.1109/mis.2021.3082561 · Cited by 669 · see citing works

Privacy-preserving edge federated learning for intelligent mobile-health systems

Aminifar, A., Shokri, M., & Aminifar, A. (2024) · Future Generation Computer Systems · doi:10.1016/j.future.2024.07.035 · Cited by 99 · see citing works

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 · see citing works

EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning

Wang, S., Jiang, X., Wu, Y. S., Cui, L., Cheng, S. S. M., & Lucila Ohno-machado, A. (2013) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2013.03.008 · Cited by 74 · see citing works

Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data

Aminifar, A., Shokri, M., Rabbi, F., Pun, K. I., & Lamo, Y. (2022) · IEEE Access · doi:10.1109/access.2022.3141709 · Cited by 56 · see citing works

VERTIcal Grid lOgistic regression (VERTIGO)

Li, Y., Jiang, X., Wang, S., Xiong, H., & Lucila Ohno-machado, A. (2015) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv146 · Cited by 52 · see citing works

Privacy Preserving Association Rule Mining: Taxonomy, Techniques, and Metrics

Zhang, L., Wang, W., & Zhang, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2908452 · Cited by 47 · see citing works

Efficient and Privacy-Preserving k-Means Clustering for Big Data Mining

Gheid, Z., & Challal, Y. (2016) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom.2016.0140 · Cited by 44 · see citing works

Privacy‐Preserving Federated Learning Framework with General Aggregation and Multiparty Entity Matching

Zhou, Z., Tian, Y., & Peng, C. (2021) · Wireless Communications and Mobile Computing · doi:10.1155/2021/6692061 · Cited by 29 · see citing works

Privacy Preserving Federated Big Data Analysis

Dai, W., Wang, S., Xiong, H., & Jiang, X. (2017) · Studies in big data · doi:10.1007/978-3-319-53817-4_3 · Cited by 25 · see citing works

Monitoring Motor Activity Data for Detecting Patients’ Depression Using Data Augmentation and Privacy-Preserving Distributed Learning

Aminifar, A., Rabbi, F., Pun, K. I., & Lamo, Y. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9630592 · Cited by 21 · see citing works

Secure Collaborative Outsourced Data Mining with Multi-owner in Cloud Computing

Lu, Q., Xiong, Y., Gong, X., & Huang, W. (2012) · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · doi:10.1109/trustcom.2012.251 · Cited by 19 · see citing works

A novel privacy-preserving federated genome-wide association study framework and its application in identifying potential risk variants in ankylosing spondylitis

Wu, X., Zheng, H., Dou, Z., Chen, F., Deng, J., Chen, X., Xu, S., Gao, G., Li, M., Wang, Z., et al. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa090 · Cited by 21 · see citing works

Assisted Learning: A Framework for Multi-Organization LearningPreprint

Xian, X., Wang, X., Ding, J., & Ghanadan, R. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2004.00566 · Cited by 19 · see citing works

Understanding global climate change scenarios through bioclimate stratification

Soteriades, A. D., Murray-Rust, D., Trabucco, A., & Metzger, M. J. (2017) · Environmental Research Letters · doi:10.1088/1748-9326/aa7689 · Cited by 18 · see citing works

FedV: Privacy-Preserving Federated Learning over Vertically Partitioned DataPreprint

Xu, R., Baracaldo, N., Zhou, Y., Anwar, A., Joshi, J. B. D., & Ludwig, H. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.03918 · Cited by 18 · see citing works

SoK: Privacy-Preserving Collaborative Tree-based Model Learning

Chatel, S., Pyrgelis, A., Troncoso-Pastoriza, J. R., & Hubaux, J. (2021) · Proceedings on Privacy Enhancing Technologies · doi:10.2478/popets-2021-0043 · Cited by 17 · see citing works

Privacy preserving distributed extremely randomized trees

Aminifar, A., Rabbi, F., Pun, K. I., & Lamo, Y. (2021) · ACM Symposium on Applied Computing · doi:10.1145/3412841.3442110 · Cited by 18 · see citing works

Loose associations to increase utility in data publishing

di Vimercati, S. D. C., Foresti, S., Jajodia, S., Livraga, G., Paraboschi, S., & Samarati, P. (2015) · Journal of Computer Security · doi:10.3233/jcs-140513 · Cited by 16 · see citing works

A novel privacy‐preserving scheme for collaborative frequent itemset mining across vertically partitioned data

Nanavati, N. R., & Jinwala, D. C. (2015) · Security and Communication Networks · doi:10.1002/sec.1377 · Cited by 14 · see citing works

A systematic review on privacy-preserving distributed data mining

Sun, C., Ippel, L., Dekker, A. L. A. J., Dumontier, M., & van Soest, J. (2021) · Data Science · doi:10.3233/ds-210036 · Cited by 12 · see citing works

Secure and Scalable Statistical Computation of Questionnaire Data in R

Yigzaw, K. Y., Michalas, A., & Bellika, J. G. (2016) · IEEE Access · doi:10.1109/access.2016.2599851 · Cited by 11 · see citing works

HDSM: A distributed data mining approach to classifying vertically distributed data streams

Denham, B., Pears, R., & Naeem, M. A. (2019) · Knowledge-Based Systems · doi:10.1016/j.knosys.2019.105114 · Cited by 11 · see citing works

Diversity-Aware Anonymization for Structured Health Data

Aminifar, A., Rabbi, F., Pun, K. I., & Lamo, Y. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9629918 · Cited by 10 · see citing works

Evaluation of secure multi-party computation for reuse of distributed electronic health data

Yigzaw, K. Y., & Bellika, J. G. (2014) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2014.6864343 · Cited by 9 · see citing works

Scalable Privacy-Preserving Distributed Extremely Randomized Trees for Structured Data With Multiple Colluding Parties

Aminifar, A., Rabbi, F., & Lamo, Y. (2021) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp39728.2021.9413632 · Cited by 9 · see citing works

Privacy-preserving architecture for providing feedback to clinicians on their clinical performance

Yigzaw, K. Y., Budrionis, A., Marco-Ruiz, L., Henriksen, T. D., Halvorsen, P. A., & Bellika, J. G. (2020) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-01147-5 · Cited by 8 · see citing works

Collaborative Outsourced Data Mining for Secure Cloud Computing

Huang, Y., Lu, Q., & Xiong, Y. (2014) · Journal of Networks · doi:10.4304/jnw.9.10.2655-2664 · Cited by 8 · see citing works

Privacy Preservation for Global Cyclic Associations in Distributed Databases

Nanavati, N. R., & Jinwala, D. C. (2012) · Procedia Technology · doi:10.1016/j.protcy.2012.10.117 · Cited by 8 · see citing works

Privacy Preserving Approaches for Global Cycle Detections for Cyclic Association Rules in Distributed Databases

Nanavati, N. R., & Jinwala, D. C. (2012) · International Conference on Security and Cryptography · doi:10.5220/0004018803680371 · Cited by 8 · see citing works

PPEM: Privacy‐preserving EM learning for mixture models

Lee, S., Leemaqz, K. L., & McLachlan, G. J. (2019) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.5208 · Cited by 7 · see citing works

Privacy-Preserving Clustering on Distributed Databases: A Review and Some Contributions

Flavius, L., & Cost, J. A. F. (2011) · InTech eBooks · doi:10.5772/13945 · Cited by 5 · see citing works

Privacy-Preserving Vertical Federated Learning

Xu, R., Baracaldo, N., Zhou, Y., Abay, A., & Anwar, A. (2022) · Springer eBooks · doi:10.1007/978-3-030-96896-0_18 · Cited by 4 · see citing works

An Efficient Approach for Privacy Preserving Distributed K-Means Clustering in Unsecured Environment

Shewale, A. E., Keshavamurthy, B. N., & Modi, C. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-10-8639-7_44 · Cited by 4 · see citing works

Private Distributed Three-Party Learning of Gaussian Mixture Models

Leemaqz, K. L., Lee, S., & McLachlan, G. J. (2017) · Communications in computer and information science · doi:10.1007/978-981-10-5421-1_7 · Cited by 3 · see citing works

Advanced extreme learning machine‐based ensemble classification scheme with enhanced data perturbation for human DNA sequences

Janakiraman, S., & Priya, M. D. (2021) · Computational Intelligence · doi:10.1111/coin.12471 · Cited by 3 · see citing works

Analysis and Evaluation of Novel Privacy Preserving Techniques for Collaborative Temporal Association Rule Mining Using Secret Sharing

Nanavati, N. R., Sen, N., & Jinwala, D. C. (2014) · International Journal of Distributed Systems and Technologies · doi:10.4018/ijdst.2014070103 · Cited by 3 · see citing works

Privacy-Preserving Collaborative Filtering Schemes With Sampling Users

Kikuchi, H., & KIZAWA, H. (2012) · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics · doi:10.3156/jsoft.24.753 · Cited by 3 · see citing works

Study On Various Privacy-Preserving Data Mining Techniques For Information Extraction

Kumar, B. S., Kesavan, V. T., & Daniya, T. (2019) · International journal of scientific and technology research · Cited by 2 · see citing works

Collaborative Framework for Fuzzy Co-clustering

Chen, T., & Honda, K. (2019) · SpringerBriefs in applied sciences and technology · doi:10.1007/978-3-030-22574-2_5 · Cited by 2 · see citing works

Information-Theoretically Secure Privacy Preserving Approaches for Collaborative Association Rule Mining

Nanavati, N. R., & Jinwala, D. C. (2017) · Springer eBooks · doi:10.1007/978-3-319-58424-9_4

Privacy-preserving personal data analysis

Sun, C. (2022) · doi:10.26481/dis.20221114cs

Enhancing Data Security in Cloud using Shuffling and Distribution Algorithm

Kaaviya, S., Revathi, P., & Nithya, R. (2013)

Additional file 2 of Privacy-preserving architecture for providing feedback to clinicians on their clinical performance

Yigzaw, K. Y., Budrionis, A., Marco-Ruiz, L., Henriksen, T. D., Halvorsen, P. A., & Bellika, J. G. (2020) · Figshare · doi:10.6084/m9.figshare.12544109

Additional file 1 of Privacy-preserving architecture for providing feedback to clinicians on their clinical performance

Yigzaw, K. Y., Budrionis, A., Marco-Ruiz, L., Henriksen, T. D., Halvorsen, P. A., & Bellika, J. G. (2020) · Figshare · doi:10.6084/m9.figshare.12544100

Privacy preserving data mining over vertically partitioned data

Vaidya, J. S., & Clifton, C. (2004) · Cited by 52 · see citing works

A Fast and Efficient Privacy Preserving Data Mining Over Vertically Partitioned Data

S.Annakkodi, P. (2013) · International Journal of Computer Applications · doi:10.5120/13218-0614 · Cited by 3 · see citing works

Privacy-preserving distributed data mining and processing on horizontally partitioned data

Kantarcıoğlu, M., & Clifton, C. W. (2005) · Cited by 3 · see citing works

A Survey of Privacy-Preserving Methods Across Horizontally Partitioned Data

Kantarcıoğlu, M. (2008) · ˜The œKluwer international series on advances in database systems · doi:10.1007/978-0-387-70992-5_13 · Cited by 47 · see citing works

Agglomerative Clustering Onvertically Partitioned Data–Distributed Database Mining

Senkamalavalli, R., & Bhuvaneswari, T. (2015) · International Journal of Data Mining Techniques and Applications · doi:10.20894/ijdmta.102.004.002.006