Privacy preserving data publishing of categorical data through k ‐anonymity and feature selection

Random Forests

Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538 · see citing works

Support-vector networks

Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421 · see citing works

UCI Machine Learning Repository

Asuncion, A. (2007) · Medical Entomology and Zoology · Cited by 24,190 · see citing works

Classification and Regression by randomForest

Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594 · see citing works

Instance-Based Learning Algorithms

Aha, D. W., Kibler, D. F., & Albert, M. K. (1991) · Machine Learning · doi:10.1023/a:1022689900470 · Cited by 5,217 · see citing works

Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning

Fayyad, U. M., & Irani, K. B. (1993) · International Joint Conference on Artificial Intelligence · Cited by 2,870 · see citing works

ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION

Sweeney, L. (2002) · International Journal of Uncertainty Fuzziness and Knowledge-Based Systems · doi:10.1142/s021848850200165x · Cited by 1,991 · 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

FEEDBACK ON A PUBLICLY DISTRIBUTED IMAGE DATABASE: THE MESSIDOR DATABASE

Decencière, É., Zhang, X., Cazuguel, G., Laÿ, B., Cochener, B., Trone, C., Gain, P., Ordonez, R., Massin, P., Erginay, A., et al. (2014) · Image Analysis & Stereology · doi:10.5566/ias.1155 · Cited by 1,433 · see citing works

Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression

Samarati, P., & Sweeney, L. (2018) · doi:10.1184/r1/6625469 · Cited by 1,341 · see citing works

Incognito

LeFevre, K., DeWitt, D. J., & Ramakrishnan, R. (2005) · ACM SIGMOD International Conference on Management of Data (SIGMOD) · doi:10.1145/1066157.1066164 · Cited by 1,073 · see citing works

Top-Down Specialization for Information and Privacy Preservation

Fung, B. C. M., Wang, K., & Yu, P. S. (2005) · Proceedings - International Conference on Data Engineering · doi:10.1109/icde.2005.143 · Cited by 578 · see citing works

Open-source machine learning: R meets Weka

Hornik, K., Buchta, C., & Zeileis, A. (2008) · Computational Statistics · doi:10.1007/s00180-008-0119-7 · Cited by 388 · see citing works

Anonymizing Classification Data for Privacy Preservation

Fung, B. C. M., Wang, K., & Yu, P. S. (2007) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2007.1015 · Cited by 351 · see citing works

Guaranteeing anonymity when sharing medical data, the Datafly system

Sweeney, L. (2018) · PubMed · doi:10.1184/r1/6622412 · Cited by 238 · see citing works

Efficient Multidimensional Suppression for K-Anonymity

Kisilevich, S., Rokach, L., Elovici, Y., & Shapira, B. (2009) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2009.91 · Cited by 110 · see citing works

Privacy-preserving data mining: A feature set partitioning approach

Matatov, N., Rokach, L., & Maimon, O. (2010) · Information Sciences · doi:10.1016/j.ins.2010.03.011 · Cited by 94 · 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

Generalizing Data to Provide Anonymity when Disclosing Information

Samarati, P., & Sweeney, L. (2018) · doi:10.1184/r1/6622343 · Cited by 43 · see citing works

k-Anonymous data collection

Zhong, S., Yang, Z., & Chen, T. (2009) · Information Sciences · doi:10.1016/j.ins.2009.05.004 · Cited by 37 · see citing works

A framework for privacy-preserving cluster analysis

Fung, B. C. M., Wang, K., Wang, L., & Debbabi, M. (2008) · IEEE International Conference on Intelligence and Security Informatics (ISI) · doi:10.1109/isi.2008.4565028 · Cited by 18 · see citing works

Linked2Safety: A secure linked data medical information space for semantically-interconnecting EHRs advancing patients' safety in medical research

Antoniades, A., Georgousopoulos, C., Forgo, N. P., Aristodimou, A., Tozzi, F., Hasapis, P., Perakis, Κ., Bouras, T., Alexandrou, D., Kamateri, E., et al. (2012) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe.2012.6399767 · Cited by 15 · see citing works

The effects of applying cell-suppression and perturbation to aggregated genetic data

Antoniades, A., Keane, J. A., Aristodimou, A., Philipou, C., Constantinou, A. I., Georgousopoulos, C., Tozzi, F., Kyriacou, K. C., Hadjisavvas, A., Loizidou, M. A., et al. (2012) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe.2012.6399777 · Cited by 8 · see citing works

A workflow system for virtual screening in cancer chemoprevention

Kannas, C. C., Achilleos, K. G., Antoniou, Z. C., Nicolaou, C. A., Pattichis, C. S., Kalvari, I., Kirmitzoglou, I., & Promponas, V. J. (2012) · IEEE International Conference on Bioinformatics and Bioengineering (BIBE) · doi:10.1109/bibe.2012.6399766 · Cited by 5 · see citing works

AI in Medical Imaging Informatics: Current Challenges and Future Directions

Panayides, A. S., Amini, A., Filipovic, N. D., Sharma, A., Tsaftaris, S. A., Young, A., Foran, D., Do, N., Golemati, S., Kurc, T., et al. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.2991043 · Cited by 713 · see citing works

MASK 2017: ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma multimorbidity using real-world-evidence

MASK study group, Bousquet, J. J., Arnavielhe, S., Bedbrook, A., Bewick, M., Laune, D., Mathieu‐Dupas, E., Murray, R., Onorato, G. L., Pépin, J., et al. (2018) · Clinical and Translational Allergy · doi:10.1186/s13601-018-0227-6 · Cited by 143 · see citing works

Adherence to treatment in allergic rhinitis using mobile technology. The MASK Study

Menditto, E., Costa, E. M., Midão, L., Bosnic-Anticevich, S. Z., Novellino, E., Białek, S., Briedis, V., Mair, A., Rajabian‐Söderlund, R., Arnavielhe, S., et al. (2018) · Clinical & Experimental Allergy · doi:10.1111/cea.13333 · Cited by 99 · see citing works

POLLAR: Impact of air POLLution on Asthma and Rhinitis; a European Institute of Innovation and Technology Health (EIT Health) project

Bousquet, J., Antó, J. M., Annesi‐Maesano, I., Dedeu, T., Mathieu‐Dupas, E., Pépin, J., Eyindanga, L. S. Z., Arnavielhe, S., Ayache, J., Basagaña, X., et al. (2018) · Clinical and Translational Allergy · doi:10.1186/s13601-018-0221-z · Cited by 91 · see citing works

Privacy Policy and Technology in Biomedical Data Science

Arellano, A. M., Dai, W., Wang, S., Jiang, X., & Lucila Ohno-machado, A. (2018) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-080917-013416 · Cited by 61 · see citing works

Privacy-Aware Time-Series Data Sharing With Deep Reinforcement Learning

Erdemir, E., Dragotti, P. L., & Gündüz, D. (2020) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2020.3013200 · Cited by 48 · see citing works

Geolocation with respect to personal privacy for the Allergy Diary app - a MASK study

Samreth, D., Arnavielhe, S., Ingenrieth, F., Bedbrook, A., Onorato, G. L., Murray, R., Almeida, R., Mizani, M. A., Fonseca, J., Costa, E. M., et al. (2018) · World Allergy Organization Journal · doi:10.1186/s40413-018-0194-3 · Cited by 46 · see citing works

Preserving Privacy in Image-based Emotion Recognition through User Anonymization

Narula, V., Feng, K., & Chaspari, T. (2020) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3382507.3418833 · Cited by 20 · see citing works

Integration of Biobanks in National eHealth Ecosystems Facilitating Long-Term Longitudinal Clinical-Omics Studies and Citizens' Engagement in Research Through eHealthBioR

Antoniades, A., Παπαϊωάννου, Μ., Malatras, A., Papagregoriou, G., Müller, H., Holub, P., Deltas, C. C., & Schizas, C. N. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.628646 · Cited by 12 · see citing works

A Study on Privacy-Preserving Approaches in Online Social Network for Data Publishing

Devi, S. S., & Indhumathi, R. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-981-13-1402-5_8 · Cited by 6 · see citing works

Encrypted Image Feature Extraction by Privacy-Preserving MFS

Chen, G., Chen, Q., Zhu, X., & Chen, Y. (2018) · International Conference on Digital Home (ICDH) · doi:10.1109/icdh.2018.00016 · Cited by 5 · see citing works

PEEP with Cloud Encryption: A Dual-Layered Privacy Solution for Emotion Recognition Systems

AlNuaimi, R., Alnajjar, F. S. K., & Abdulmouti, H. (2023) · International Conference on Innovations in Information Technology · doi:10.1109/iit59782.2023.10366494 · Cited by 5 · see citing works

Achieving Privacy-Utility Trade-off in existing Software Systems

Srivastava, S., Namboodiri, V. P., & Prabhakar, T. V. (2020) · Journal of Physics Conference Series · doi:10.1088/1742-6596/1454/1/012004 · Cited by 2 · see citing works

Data Privacy in Hadoop Using Anonymization and T-Closeness

Kaushik, P., & Tayde, V. D. (2018) · Communications in computer and information science · doi:10.1007/978-981-10-8660-1_35

Terminal Sensitive Data Protection by Adjusting Access Time Bidirectionally and Automatically

Lu, X., Chen, L., Zhang, S., Lió, P., & Jing, S. (2018) · International Conference on Computer Communications and Networks (ICCCN) · doi:10.1109/icccn.2018.8487465

PUTWorkbench: Analysing Privacy in AI-intensive SystemsPreprint

Srivastava, S., Namboodiri, V. P., & Prabhakar, T. V. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1902.01580

Artificial Intelligence Usage and Data Privacy Discoveries within mHealth

Schulte, J., Engebretson, P. H., & Spanier, M. (2024) · EPiC series in computing · doi:10.29007/m9vx

Ethical and regulatory of artificial intelligence in drug design

Luo, X., Chen, F., Chen, Y., & Zhou, Q. (2025) · Elsevier eBooks · doi:10.1016/b978-0-44-332908-1.00032-5

Privacy Gain Based Multi-Iterative k-Anonymization to Protect Respondents PrivacyPreprint

Chhinkaniwala, H., & Garg, S. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1403.5250

A non-grouping anonymity model for preserving privacy in health data publishing

Nagendrakumar, S., Aparna, R. R., & Ramesh, S. (2014) · International Conference on Science Engineering and Management Research · doi:10.1109/icsemr.2014.7043554 · Cited by 1 · see citing works

Privacy-preserving data mining: A feature set partitioning approach

Matatov, N., Rokach, L., & Maimon, O. (2010) · Information Sciences · doi:10.1016/j.ins.2010.03.011 · Cited by 94 · see citing works

Medical ethics privacy protection based on combining distributed randomization with K-anonymity

Xie, Y., Qin, H. Y., Zhang, D., & Hu, X. (2015) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp.2015.7408136 · Cited by 7 · see citing works

Utility of Anonymised Data in Decision Tree Derivation

Davies, J., & Shao, J. (2022) · International Conference on Information Systems Security and Privacy (ICISSP) · doi:10.5220/0010778300003120