Journal articles on the topic 'Privacy-utility trade-off'
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Liu, Hai, Zhenqiang Wu, Yihui Zhou, Changgen Peng, Feng Tian, and Laifeng Lu. "Privacy-Preserving Monotonicity of Differential Privacy Mechanisms." Applied Sciences 8, no. 11 (October 28, 2018): 2081. http://dx.doi.org/10.3390/app8112081.
Full textAvent, Brendan, Javier González, Tom Diethe, Andrei Paleyes, and Borja Balle. "Automatic Discovery of Privacy–Utility Pareto Fronts." Proceedings on Privacy Enhancing Technologies 2020, no. 4 (October 1, 2020): 5–23. http://dx.doi.org/10.2478/popets-2020-0060.
Full textGobinathan, B., M. A. Mukunthan, S. Surendran, K. Somasundaram, Syed Abdul Moeed, P. Niranjan, V. Gouthami, et al. "A Novel Method to Solve Real Time Security Issues in Software Industry Using Advanced Cryptographic Techniques." Scientific Programming 2021 (December 28, 2021): 1–9. http://dx.doi.org/10.1155/2021/3611182.
Full textZeng, Xia, Chuanchuan Yang, and Bin Dai. "Utility–Privacy Trade-Off in Distributed Machine Learning Systems." Entropy 24, no. 9 (September 14, 2022): 1299. http://dx.doi.org/10.3390/e24091299.
Full textSrivastava, Saurabh, Vinay P. Namboodiri, and T. V. Prabhakar. "Achieving Privacy-Utility Trade-off in existing Software Systems." Journal of Physics: Conference Series 1454 (February 2020): 012004. http://dx.doi.org/10.1088/1742-6596/1454/1/012004.
Full textMohammed, Kabiru, Aladdin Ayesh, and Eerke Boiten. "Complementing Privacy and Utility Trade-Off with Self-Organising Maps." Cryptography 5, no. 3 (August 17, 2021): 20. http://dx.doi.org/10.3390/cryptography5030020.
Full textWunderlich, Dominik, Daniel Bernau, Francesco Aldà, Javier Parra-Arnau, and Thorsten Strufe. "On the Privacy–Utility Trade-Off in Differentially Private Hierarchical Text Classification." Applied Sciences 12, no. 21 (November 4, 2022): 11177. http://dx.doi.org/10.3390/app122111177.
Full textRassouli, Borzoo, and Deniz Gunduz. "Optimal Utility-Privacy Trade-Off With Total Variation Distance as a Privacy Measure." IEEE Transactions on Information Forensics and Security 15 (2020): 594–603. http://dx.doi.org/10.1109/tifs.2019.2903658.
Full textKiranagi, Manasi, Devika Dhoble, Madeeha Tahoor, and Dr Rekha Patil. "Finding Optimal Path and Privacy Preserving for Wireless Network." International Journal for Research in Applied Science and Engineering Technology 10, no. 10 (October 31, 2022): 360–65. http://dx.doi.org/10.22214/ijraset.2022.46949.
Full textMiller, Jim. "Who Are You? The Trade-Off between Information Utility and Privacy." IEEE Internet Computing 12, no. 4 (July 2008): 93–96. http://dx.doi.org/10.1109/mic.2008.91.
Full textDe, Abir, and Soumen Chakrabarti. "Differentially Private Link Prediction with Protected Connections." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 1 (May 18, 2021): 63–71. http://dx.doi.org/10.1609/aaai.v35i1.16078.
Full textZhan, Yuting, Hamed Haddadi, and Afra Mashhadi. "Privacy-Aware Adversarial Network in Human Mobility Prediction." Proceedings on Privacy Enhancing Technologies 2023, no. 1 (January 2023): 556–70. http://dx.doi.org/10.56553/popets-2023-0032.
Full textWu, Qihong, Jinchuan Tang, Shuping Dang, and Gaojie Chen. "Data privacy and utility trade-off based on mutual information neural estimator." Expert Systems with Applications 207 (November 2022): 118012. http://dx.doi.org/10.1016/j.eswa.2022.118012.
Full textChen, Youqin, Zhengquan Xu, Jianzhang Chen, and Shan Jia. "B-DP: Dynamic Collection and Publishing of Continuous Check-In Data with Best-Effort Differential Privacy." Entropy 24, no. 3 (March 14, 2022): 404. http://dx.doi.org/10.3390/e24030404.
Full textZhang, Xiao-Yu, Stefanie Kuenzel, José-Rodrigo Córdoba-Pachón, and Chris Watkins. "Privacy-Functionality Trade-Off: A Privacy-Preserving Multi-Channel Smart Metering System." Energies 13, no. 12 (June 21, 2020): 3221. http://dx.doi.org/10.3390/en13123221.
Full textChandrasekaran, Varun, Chuhan Gao, Brian Tang, Kassem Fawaz, Somesh Jha, and Suman Banerjee. "Face-Off: Adversarial Face Obfuscation." Proceedings on Privacy Enhancing Technologies 2021, no. 2 (January 29, 2021): 369–90. http://dx.doi.org/10.2478/popets-2021-0032.
Full textYao, Xin, Juan Yu, Jianmin Han, Jianfeng Lu, Hao Peng, Yijia Wu, and Xiaoqian Cao. "DP-CSM: Efficient Differentially Private Synthesis for Human Mobility Trajectory with Coresets and Staircase Mechanism." ISPRS International Journal of Geo-Information 11, no. 12 (December 5, 2022): 607. http://dx.doi.org/10.3390/ijgi11120607.
Full textZhao, Jianzhe, Keming Mao, Chenxi Huang, and Yuyang Zeng. "Utility Optimization of Federated Learning with Differential Privacy." Discrete Dynamics in Nature and Society 2021 (October 8, 2021): 1–14. http://dx.doi.org/10.1155/2021/3344862.
Full textZhou, Xingcai, and Yu Xiang. "ADMM-Based Differential Privacy Learning for Penalized Quantile Regression on Distributed Functional Data." Mathematics 10, no. 16 (August 16, 2022): 2954. http://dx.doi.org/10.3390/math10162954.
Full textLi, Qiyu, Chunlai Zhou, Biao Qin, and Zhiqiang Xu. "Local Differential Privacy for Belief Functions." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 9 (June 28, 2022): 10025–33. http://dx.doi.org/10.1609/aaai.v36i9.21241.
Full textCao, Hui, Shubo Liu, Renfang Zhao, and Xingxing Xiong. "IFed: A novel federated learning framework for local differential privacy in Power Internet of Things." International Journal of Distributed Sensor Networks 16, no. 5 (May 2020): 155014772091969. http://dx.doi.org/10.1177/1550147720919698.
Full textBoenisch, Franziska, Christopher Mühl, Roy Rinberg, Jannis Ihrig, and Adam Dziedzic. "Individualized PATE: Differentially Private Machine Learning with Individual Privacy Guarantees." Proceedings on Privacy Enhancing Technologies 2023, no. 1 (January 2023): 158–76. http://dx.doi.org/10.56553/popets-2023-0010.
Full textTriastcyn, Aleksei, and Boi Faltings. "Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees." Algorithms 15, no. 7 (July 1, 2022): 232. http://dx.doi.org/10.3390/a15070232.
Full textPuaschunder, Julia. "Towards a Utility Theory of Privacy and Information Sharing." International Journal of Strategic Information Technology and Applications 10, no. 1 (January 2019): 1–22. http://dx.doi.org/10.4018/ijsita.2019010101.
Full textXiao, Taihong, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, and Ming-Hsuan Yang. "Adversarial Learning of Privacy-Preserving and Task-Oriented Representations." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 12434–41. http://dx.doi.org/10.1609/aaai.v34i07.6930.
Full textMiller, Jim. "Who Are You, Part II: More on the Trade-Off between Information Utility and Privacy." IEEE Internet Computing 12, no. 6 (November 2008): 91–93. http://dx.doi.org/10.1109/mic.2008.135.
Full textVepakomma, Praneeth, Julia Balla, and Ramesh Raskar. "PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 8 (June 28, 2022): 8503–11. http://dx.doi.org/10.1609/aaai.v36i8.20827.
Full textSohail, Syeda Amna, Faiza Allah Bukhsh, and Maurice van Keulen. "Multilevel Privacy Assurance Evaluation of Healthcare Metadata." Applied Sciences 11, no. 22 (November 12, 2021): 10686. http://dx.doi.org/10.3390/app112210686.
Full textLiu, Xuan, Genlang Chen, Shiting Wen, and Guanghui Song. "An Improved Sanitization Algorithm in Privacy-Preserving Utility Mining." Mathematical Problems in Engineering 2020 (April 25, 2020): 1–14. http://dx.doi.org/10.1155/2020/7489045.
Full textVerma, Kishore S., A. Rajesh, and Adeline J. S. Johnsana. "An Improved Classification Analysis on Utility Aware K-Anonymized Dataset." Journal of Computational and Theoretical Nanoscience 16, no. 2 (February 1, 2019): 445–52. http://dx.doi.org/10.1166/jctn.2019.7748.
Full textMohammady, Meisam, Momen Oqaily, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, and Mourad Debbabi. "A Multi-view Approach to Preserve Privacy and Utility in Network Trace Anonymization." ACM Transactions on Privacy and Security 24, no. 3 (August 31, 2021): 1–36. http://dx.doi.org/10.1145/3439732.
Full textKamalaruban, Parameswaran, Victor Perrier, Hassan Jameel Asghar, and Mohamed Ali Kaafar. "Not All Attributes are Created Equal: dX -Private Mechanisms for Linear Queries." Proceedings on Privacy Enhancing Technologies 2020, no. 1 (January 1, 2020): 103–25. http://dx.doi.org/10.2478/popets-2020-0007.
Full textSong, Yi, Xuesong Lu, Sadegh Nobari, Stéphane Bressan, and Panagiotis Karras. "On the Privacy and Utility of Anonymized Social Networks." International Journal of Adaptive, Resilient and Autonomic Systems 4, no. 2 (April 2013): 1–34. http://dx.doi.org/10.4018/jaras.2013040101.
Full textHirschprung, Ron S., and Shani Alkoby. "A Game Theory Approach for Assisting Humans in Online Information-Sharing." Information 13, no. 4 (April 2, 2022): 183. http://dx.doi.org/10.3390/info13040183.
Full textEt. al., Waleed M. Ead,. "A General Framework Information Loss of Utility-Based Anonymization in Data Publishing." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (April 11, 2021): 1450–56. http://dx.doi.org/10.17762/turcomat.v12i5.2102.
Full textHemmatazad, Nolan, Robin Gandhi, Qiuming Zhu, and Sanjukta Bhowmick. "The Intelligent Data Brokerage." International Journal of Privacy and Health Information Management 2, no. 1 (January 2014): 22–33. http://dx.doi.org/10.4018/ijphim.2014010102.
Full textHeredia-Ductram, Daniel, Miguel Nunez-del-Prado, and Hugo Alatrista-Salas. "Toward a Comparison of Classical and New Privacy Mechanism." Entropy 23, no. 4 (April 15, 2021): 467. http://dx.doi.org/10.3390/e23040467.
Full textWagh, Sameer, Paul Cuff, and Prateek Mittal. "Differentially Private Oblivious RAM." Proceedings on Privacy Enhancing Technologies 2018, no. 4 (October 1, 2018): 64–84. http://dx.doi.org/10.1515/popets-2018-0032.
Full textBozkir, Efe, Onur Günlü, Wolfgang Fuhl, Rafael F. Schaefer, and Enkelejda Kasneci. "Differential privacy for eye tracking with temporal correlations." PLOS ONE 16, no. 8 (August 17, 2021): e0255979. http://dx.doi.org/10.1371/journal.pone.0255979.
Full textZong, Zixiao, Mengwei Yang, Justin Ley, Athina Markopoulou, and Carter Butts. "Privacy by Projection: Federated Population Density Estimation by Projecting on Random Features." Proceedings on Privacy Enhancing Technologies 2023, no. 1 (January 2023): 309–24. http://dx.doi.org/10.56553/popets-2023-0019.
Full textKapp, Alexandra. "Collection, usage and privacy of mobility data in the enterprise and public administrations." Proceedings on Privacy Enhancing Technologies 2022, no. 4 (October 2022): 440–56. http://dx.doi.org/10.56553/popets-2022-0117.
Full textHuang, Yue, Borke Obada-Obieh, Satya Lokam, and Konstantin (Kosta) Beznosov. "Users' Expectations, Experiences, and Concerns With COVID Alert, an Exposure-Notification App." Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (November 7, 2022): 1–33. http://dx.doi.org/10.1145/3555770.
Full textDery, Lihi, and Artyom Jelnov. "Privacy–Accuracy Consideration in Devices That Collect Sensor-Based Information." Sensors 21, no. 14 (July 9, 2021): 4684. http://dx.doi.org/10.3390/s21144684.
Full textRezaeifar, Shideh, Slava Voloshynovskiy, Meisam Asgari Asgari Jirhandeh, and Vitality Kinakh. "Privacy-Preserving Image Template Sharing Using Contrastive Learning." Entropy 24, no. 5 (May 3, 2022): 643. http://dx.doi.org/10.3390/e24050643.
Full textNiu, Yue, Ramy E. Ali, and Salman Avestimehr. "3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs." Proceedings on Privacy Enhancing Technologies 2022, no. 4 (October 2022): 183–203. http://dx.doi.org/10.56553/popets-2022-0105.
Full textChourasia, Rishav, Batnyam Enkhtaivan, Kunihiro Ito, Junki Mori, Isamu Teranishi, and Hikaru Tsuchida. "Knowledge Cross-Distillation for Membership Privacy." Proceedings on Privacy Enhancing Technologies 2022, no. 2 (March 3, 2022): 362–77. http://dx.doi.org/10.2478/popets-2022-0050.
Full textDuan, Shaoming, Chuanyi Liu, Peiyi Han, Xiaopeng Jin, Xinyi Zhang, Tianyu He, Hezhong Pan, and Xiayu Xiang. "HT-Fed-GAN: Federated Generative Model for Decentralized Tabular Data Synthesis." Entropy 25, no. 1 (December 31, 2022): 88. http://dx.doi.org/10.3390/e25010088.
Full textDandekar, Ashish, Debabrota Basu, and Stéphane Bressan. "Differential Privacy at Risk: Bridging Randomness and Privacy Budget." Proceedings on Privacy Enhancing Technologies 2021, no. 1 (January 1, 2021): 64–84. http://dx.doi.org/10.2478/popets-2021-0005.
Full textErnala, Sindhu Kiranmai, Stephanie S. Yang, Yuxi Wu, Rachel Chen, Kristen Wells, and Sauvik Das. "Exploring the Utility Versus Intrusiveness of Dynamic Audience Selection on Facebook." Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (October 13, 2021): 1–30. http://dx.doi.org/10.1145/3476083.
Full textLi, Xiaochen, Yuke Hu, Weiran Liu, Hanwen Feng, Li Peng, Yuan Hong, Kui Ren, and Zhan Qin. "OpBoost." Proceedings of the VLDB Endowment 16, no. 2 (October 2022): 202–15. http://dx.doi.org/10.14778/3565816.3565823.
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