Journal articles on the topic 'Private Data Analysis'
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Shi, Elaine, T. H. Hubert Chan, Eleanor Rieffel, and Dawn Song. "Distributed Private Data Analysis." ACM Transactions on Algorithms 13, no. 4 (December 21, 2017): 1–38. http://dx.doi.org/10.1145/3146549.
Full textAbdul Manap, Nazura, Mohamad Rizal Abd Rahman, and Siti Nur Farah Atiqah Salleh. "HEALTH DATA OWNERSHIP IN MALAYSIA PUBLIC AND PRIVATE HEALTHCARE: A LEGAL ANALYSIS OF HEALTH DATA PRIVACY IN THE AGE OF BIG DATA." International Journal of Law, Government and Communication 7, no. 30 (December 31, 2022): 33–41. http://dx.doi.org/10.35631/ijlgc.730004.
Full textDwork, Cynthia, Frank McSherry, Kobbi Nissim, and Adam Smith. "Calibrating Noise to Sensitivity in Private Data Analysis." Journal of Privacy and Confidentiality 7, no. 3 (May 30, 2017): 17–51. http://dx.doi.org/10.29012/jpc.v7i3.405.
Full textProserpio, Davide, Sharon Goldberg, and Frank McSherry. "Calibrating data to sensitivity in private data analysis." Proceedings of the VLDB Endowment 7, no. 8 (April 2014): 637–48. http://dx.doi.org/10.14778/2732296.2732300.
Full textMandal, Sanjeev Kumar, Amit Sharma, Santosh Kumar Henge, Sumaira Bashir, Madhuresh Shukla, and Asim Tara Pathak. "Secure data encryption key scenario for protecting private data security and privacy." Journal of Discrete Mathematical Sciences and Cryptography 27, no. 2 (2024): 269–81. http://dx.doi.org/10.47974/jdmsc-1881.
Full textAppenzeller, Arno, Moritz Leitner, Patrick Philipp, Erik Krempel, and Jürgen Beyerer. "Privacy and Utility of Private Synthetic Data for Medical Data Analyses." Applied Sciences 12, no. 23 (December 1, 2022): 12320. http://dx.doi.org/10.3390/app122312320.
Full textLobo-Vesga, Elisabet, Alejandro Russo, and Marco Gaboardi. "A Programming Language for Data Privacy with Accuracy Estimations." ACM Transactions on Programming Languages and Systems 43, no. 2 (July 2021): 1–42. http://dx.doi.org/10.1145/3452096.
Full textDwork, Cynthia. "A firm foundation for private data analysis." Communications of the ACM 54, no. 1 (January 2011): 86–95. http://dx.doi.org/10.1145/1866739.1866758.
Full textBos, Joppe W., Kristin Lauter, and Michael Naehrig. "Private predictive analysis on encrypted medical data." Journal of Biomedical Informatics 50 (August 2014): 234–43. http://dx.doi.org/10.1016/j.jbi.2014.04.003.
Full textAher, Ujjwala Bal, Amol A. Bhosle, Prachi Palsodkar, Swati Bula Patil, Nishchay Koul, and Purva Mange. "Secure data sharing in collaborative network environments for privacy-preserving mechanisms." Journal of Discrete Mathematical Sciences and Cryptography 27, no. 2-B (2024): 855–65. http://dx.doi.org/10.47974/jdmsc-1961.
Full textSramka, Michal. "Data mining as a tool in privacy-preserving data publishing." Tatra Mountains Mathematical Publications 45, no. 1 (December 1, 2010): 151–59. http://dx.doi.org/10.2478/v10127-010-0011-z.
Full textCho, Cheol-kyu. "Big Data Analysis Research on Private Investigation Systems." K Association of Education Research 8, no. 3 (September 30, 2023): 273–87. http://dx.doi.org/10.48033/jss.8.3.15.
Full textZhu, Tianqing, Gang Li, Wanlei Zhou, and Philip S. Yu. "Differentially Private Data Publishing and Analysis: A Survey." IEEE Transactions on Knowledge and Data Engineering 29, no. 8 (August 1, 2017): 1619–38. http://dx.doi.org/10.1109/tkde.2017.2697856.
Full textHamza, Rafik, Alzubair Hassan, Awad Ali, Mohammed Bakri Bashir, Samar M. Alqhtani, Tawfeeg Mohmmed Tawfeeg, and Adil Yousif. "Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms." Entropy 24, no. 4 (April 6, 2022): 519. http://dx.doi.org/10.3390/e24040519.
Full textOyekan, Basirat. "DEVELOPING PRIVACY-PRESERVING FEDERATED LEARNING MODELS FOR COLLABORATIVE HEALTH DATA ANALYSIS ACROSS MULTIPLE INSTITUTIONS WITHOUT COMPROMISING DATA SECURITY." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 3, no. 3 (August 25, 2024): 139–64. http://dx.doi.org/10.60087/jklst.vol3.n3.p139-164.
Full textMiranda-Pascual, Àlex, Patricia Guerra-Balboa, Javier Parra-Arnau, Jordi Forné, and Thorsten Strufe. "SoK: Differentially Private Publication of Trajectory Data." Proceedings on Privacy Enhancing Technologies 2023, no. 2 (April 2023): 496–516. http://dx.doi.org/10.56553/popets-2023-0065.
Full textFerrara, Pietro, Luca Olivieri, and Fausto Spoto. "Static Privacy Analysis by Flow Reconstruction of Tainted Data." International Journal of Software Engineering and Knowledge Engineering 31, no. 07 (July 2021): 973–1016. http://dx.doi.org/10.1142/s0218194021500303.
Full textShen, Wenquan, Shuhui Wu, and Yuanhong Tao. "CLDP-pFedAvg: Safeguarding Client Data Privacy in Personalized Federated Averaging." Mathematics 12, no. 22 (November 20, 2024): 3630. http://dx.doi.org/10.3390/math12223630.
Full textLi, Bing, Hong Zhu, and Meiyi Xie. "Releasing Differentially Private Trajectories with Optimized Data Utility." Applied Sciences 12, no. 5 (February 25, 2022): 2406. http://dx.doi.org/10.3390/app12052406.
Full textAL-Mafrji, Ahmad Abdullah Mohammed, and Ahmed Burhan Mohammed. "Analysis of Patients Data Using Fuzzy Expert System." Webology 19, no. 1 (January 20, 2022): 4027–34. http://dx.doi.org/10.14704/web/v19i1/web19265.
Full textXu, Xiaolong, Xuan Zhao, Feng Ruan, Jie Zhang, Wei Tian, Wanchun Dou, and Alex X. Liu. "Data Placement for Privacy-Aware Applications over Big Data in Hybrid Clouds." Security and Communication Networks 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/2376484.
Full textJi, Tianxi, Pan Li, Emre Yilmaz, Erman Ayday, Yanfang (Fanny) Ye, and Jinyuan Sun. "Differentially private binary- and matrix-valued data query." Proceedings of the VLDB Endowment 14, no. 5 (January 2021): 849–62. http://dx.doi.org/10.14778/3446095.3446106.
Full textAriful Islam, Md, and Rezwanul Hasan Rana. "Determinants of bank profitability for the selected private commercial banks in Bangladesh: a panel data analysis." Banks and Bank Systems 12, no. 3 (October 18, 2017): 179–92. http://dx.doi.org/10.21511/bbs.12(3-1).2017.03.
Full textAL-SAGGAF, YESLAM. "The Use of Data Mining by Private Health Insurance Companies and Customers’ Privacy." Cambridge Quarterly of Healthcare Ethics 24, no. 3 (June 10, 2015): 281–92. http://dx.doi.org/10.1017/s0963180114000607.
Full textAvella-Medina, Marco. "The Role of Robust Statistics in Private Data Analysis." CHANCE 33, no. 4 (October 1, 2020): 37–42. http://dx.doi.org/10.1080/09332480.2020.1847958.
Full textUtaliyeva, Assem, and Yoon-Ho Choi. "Two-Fold Differentially Private Mechanism for Big Data Analysis." Journal of Korean Institute of Communications and Information Sciences 49, no. 3 (March 31, 2024): 393–400. http://dx.doi.org/10.7840/kics.2024.49.3.393.
Full textChunxia Wang, Chunxia Wang, Qiuyu Zhang Chunxia Wang, and Yan Yan Qiuyu Zhang. "Differentially Private Feature Selection Based on Dynamic Relevance for Correlated Data." 電腦學刊 34, no. 1 (February 2023): 157–73. http://dx.doi.org/10.53106/199115992023023401012.
Full textBatool, Sumaira, Imran Abbs, Fatima Farooq, and Ishtiaq Ahmad. "Comparative Efficiency Analysis of Public and Private Colleges of Multan District: Data Envelope Approach Analysis." Review of Economics and Development Studies 2, no. 1 (June 30, 2016): 69–80. http://dx.doi.org/10.26710/reads.v2i1.125.
Full textChen, Z. F., J. J. Shuai, F. J. Tian, W. Y. Li, S. H. Zang, and X. Z. Zhang. "An Improved Privacy Protection Algorithm for Multimodal Data Fusion." Scientific Programming 2022 (August 23, 2022): 1–7. http://dx.doi.org/10.1155/2022/4189148.
Full textZhang, Hao, Yewei Xia, Yixin Ren, Jihong Guan, and Shuigeng Zhou. "Differentially Private Nonlinear Causal Discovery from Numerical Data." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 10 (June 26, 2023): 12321–28. http://dx.doi.org/10.1609/aaai.v37i10.26452.
Full textKang, Shujing, Xia Lin, Kaiqi Yang, Jianing Sun, and Daiteng Ren. "Data Elements Empowering Breakthrough Innovation Enterprises: A Current Analysis and Improvement Pathways." Journal of Management and Social Development 1, no. 3 (May 2024): 221–26. http://dx.doi.org/10.62517/jmsd.202412332.
Full textde Jong, Jins, Bart Kamphorst, and Shannon Kroes. "Differentially Private Block Coordinate Descent for Linear Regression on Vertically Partitioned Data." Journal of Cybersecurity and Privacy 2, no. 4 (November 9, 2022): 862–81. http://dx.doi.org/10.3390/jcp2040044.
Full textJia, Dongning, Bo Yin, and Xianqing Huang. "Association Analysis of Private Information in Distributed Social Networks Based on Big Data." Wireless Communications and Mobile Computing 2021 (June 4, 2021): 1–12. http://dx.doi.org/10.1155/2021/1181129.
Full textSwanberg, Marika, Ira Globus-Harris, Iris Griffith, Anna Ritz, Adam Groce, and Andrew Bray. "Improved Differentially Private Analysis of Variance." Proceedings on Privacy Enhancing Technologies 2019, no. 3 (July 1, 2019): 310–30. http://dx.doi.org/10.2478/popets-2019-0049.
Full textPeng, Shin-yi. "Public–Private Interactions in Privacy Governance." Laws 11, no. 6 (October 26, 2022): 80. http://dx.doi.org/10.3390/laws11060080.
Full textMayuri Arun Gaikwad. "Homomorphic Encryption and Secure Multi-Party Computation: Mathematical Tools for Privacy-Preserving Data Analysis in the Cloud." Panamerican Mathematical Journal 33, no. 2 (July 4, 2024): 75–88. http://dx.doi.org/10.52783/pmj.v33.i2.876.
Full textBasha, M. John, T. Satyanarayana Murthy, A. S. Valarmathy, Ahmed Radie Abbas, Djuraeva Gavhar, R. Rajavarman, and N. Parkunam. "Privacy-Preserving Data Mining and Analytics in Big Data." E3S Web of Conferences 399 (2023): 04033. http://dx.doi.org/10.1051/e3sconf/202339904033.
Full textWood, Alexander, Vladimir Shpilrain, Kayvan Najarian, and Delaram Kahrobaei. "Private naive bayes classification of personal biomedical data: Application in cancer data analysis." Computers in Biology and Medicine 105 (February 2019): 144–50. http://dx.doi.org/10.1016/j.compbiomed.2018.11.018.
Full textBălă, Raluca-Maria, and Elena-Maria Prada. "Migration and Private Consumption in Europe: A Panel Data Analysis." Procedia Economics and Finance 10 (2014): 141–49. http://dx.doi.org/10.1016/s2212-5671(14)00287-1.
Full textJiang, Yangdi, Yi Liu, Xiaodong Yan, Anne-Sophie Charest, Linglong Kong, and Bei Jiang. "Analysis of Differentially Private Synthetic Data: A Measurement Error Approach." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 19 (March 24, 2024): 21206–13. http://dx.doi.org/10.1609/aaai.v38i19.30114.
Full textXing, Hongjun, and Darchia Maia. "Analysis on the Development Strategy of Private Education Based on Data Mining Algorithm." Mathematical Problems in Engineering 2022 (July 11, 2022): 1–10. http://dx.doi.org/10.1155/2022/2783398.
Full textDE CAPITANI DI VIMERCATI, SABRINA, SARA FORESTI, GIOVANNI LIVRAGA, and PIERANGELA SAMARATI. "DATA PRIVACY: DEFINITIONS AND TECHNIQUES." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20, no. 06 (December 2012): 793–817. http://dx.doi.org/10.1142/s0218488512400247.
Full textLi, Yanshu, and Daowei Zhang. "A Spatial Panel Data Analysis of Tree Planting in the US South." Southern Journal of Applied Forestry 31, no. 4 (November 1, 2007): 192–98. http://dx.doi.org/10.1093/sjaf/31.4.192.
Full textLi, Yiwei, Shuai Wang, and Qilong Wu. "Convergence Analysis for Differentially Private Federated Averaging in Heterogeneous Settings." Mathematics 13, no. 3 (February 2, 2025): 497. https://doi.org/10.3390/math13030497.
Full textHasan, Fayyad-Kazan, Kassem-Moussa Sondos, Hejase Hussin J, and Hejase Ale J. "Forensic analysis of private browsing mechanisms: Tracing internet activities." Journal of Forensic Science and Research 5, no. 1 (March 8, 2021): 012–19. http://dx.doi.org/10.29328/journal.jfsr.1001022.
Full textBalaine, Lorraine, Cathal Buckley, and Emma J. Dillon. "Mixed public-private and private extension systems: A comparative analysis using farm-level data from Ireland." Land Use Policy 117 (June 2022): 106086. http://dx.doi.org/10.1016/j.landusepol.2022.106086.
Full textLiu, Haifei, Weishu Li, and Yulian Liu. "Research on the Integration of Data Statistics and Analysis in the Training of Private Equity Talents." Scientific Journal of Economics and Management Research 6, no. 12 (December 27, 2024): 225–30. https://doi.org/10.54691/wrjjav50.
Full textSenekane, Makhamisa. "Differentially Private Image Classification Using Support Vector Machine and Differential Privacy." Machine Learning and Knowledge Extraction 1, no. 1 (February 20, 2019): 483–91. http://dx.doi.org/10.3390/make1010029.
Full textKulkarni, Shantanu, Pranjali Bawane, Rahul S.S, M. B. Bagwan, and Shailly Gupta. "Surgical Confidentiality and Data Protection: A Legal Analysis." Journal of Neonatal Surgery 14, no. 2S (February 10, 2025): 87–96. https://doi.org/10.52783/jns.v14.1661.
Full textDeruelle, Thibaud, Veronika Kalouguina, Philipp Trein, and Joël Wagner. "Designing privacy in personalized health: An empirical analysis." Big Data & Society 10, no. 1 (January 2023): 205395172311586. http://dx.doi.org/10.1177/20539517231158636.
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