Artigos de revistas sobre o tema "Membership Inference"
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Pedersen, Joseph, Rafael Muñoz-Gómez, Jiangnan Huang, Haozhe Sun, Wei-Wei Tu e Isabelle Guyon. "LTU Attacker for Membership Inference". Algorithms 15, n.º 7 (20 de julho de 2022): 254. http://dx.doi.org/10.3390/a15070254.
Texto completo da fonteZhao, Yanchao, Jiale Chen, Jiale Zhang, Zilu Yang, Huawei Tu, Hao Han, Kun Zhu e Bing Chen. "User-Level Membership Inference for Federated Learning in Wireless Network Environment". Wireless Communications and Mobile Computing 2021 (19 de outubro de 2021): 1–17. http://dx.doi.org/10.1155/2021/5534270.
Texto completo da fonteHilprecht, Benjamin, Martin Härterich e Daniel Bernau. "Monte Carlo and Reconstruction Membership Inference Attacks against Generative Models". Proceedings on Privacy Enhancing Technologies 2019, n.º 4 (1 de outubro de 2019): 232–49. http://dx.doi.org/10.2478/popets-2019-0067.
Texto completo da fonteBu, Diyue, Xiaofeng Wang e Haixu Tang. "Haplotype-based membership inference from summary genomic data". Bioinformatics 37, Supplement_1 (1 de julho de 2021): i161—i168. http://dx.doi.org/10.1093/bioinformatics/btab305.
Texto completo da fonteYang, Ziqi, Lijin Wang, Da Yang, Jie Wan, Ziming Zhao, Ee-Chien Chang, Fan Zhang e Kui Ren. "Purifier: Defending Data Inference Attacks via Transforming Confidence Scores". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 9 (26 de junho de 2023): 10871–79. http://dx.doi.org/10.1609/aaai.v37i9.26289.
Texto completo da fonteWang, Xiuling, e Wendy Hui Wang. "GCL-Leak: Link Membership Inference Attacks against Graph Contrastive Learning". Proceedings on Privacy Enhancing Technologies 2024, n.º 3 (julho de 2024): 165–85. http://dx.doi.org/10.56553/popets-2024-0073.
Texto completo da fonteJayaraman, Bargav, Lingxiao Wang, Katherine Knipmeyer, Quanquan Gu e David Evans. "Revisiting Membership Inference Under Realistic Assumptions". Proceedings on Privacy Enhancing Technologies 2021, n.º 2 (29 de janeiro de 2021): 348–68. http://dx.doi.org/10.2478/popets-2021-0031.
Texto completo da fonteKulynych, Bogdan, Mohammad Yaghini, Giovanni Cherubin, Michael Veale e Carmela Troncoso. "Disparate Vulnerability to Membership Inference Attacks". Proceedings on Privacy Enhancing Technologies 2022, n.º 1 (20 de novembro de 2021): 460–80. http://dx.doi.org/10.2478/popets-2022-0023.
Texto completo da fonteTejash Umedbhai Chaudhari, Krunal Balubhai Patel e Vimal Bhikhubhai Patel. "A study of generalized bell-shaped membership function on Mamdani fuzzy inference system for Students’ Performance Evaluation". World Journal of Advanced Research and Reviews 3, n.º 2 (30 de agosto de 2019): 083–90. http://dx.doi.org/10.30574/wjarr.2019.3.2.0046.
Texto completo da fonteXia, Fan, Yuhao Liu, Bo Jin, Zheng Yu, Xingwei Cai, Hao Li, Zhiyong Zha, Dai Hou e Kai Peng. "Leveraging Multiple Adversarial Perturbation Distances for Enhanced Membership Inference Attack in Federated Learning". Symmetry 16, n.º 12 (18 de dezembro de 2024): 1677. https://doi.org/10.3390/sym16121677.
Texto completo da fonteOyekan, 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, n.º 3 (25 de agosto de 2024): 139–64. http://dx.doi.org/10.60087/jklst.vol3.n3.p139-164.
Texto completo da fonteZheng, Junxiang, Yongzhi Cao e Hanpin Wang. "Resisting membership inference attacks through knowledge distillation". Neurocomputing 452 (setembro de 2021): 114–26. http://dx.doi.org/10.1016/j.neucom.2021.04.082.
Texto completo da fonteZhang, Ziqi, Chao Yan e Bradley A. Malin. "Membership inference attacks against synthetic health data". Journal of Biomedical Informatics 125 (janeiro de 2022): 103977. http://dx.doi.org/10.1016/j.jbi.2021.103977.
Texto completo da fonteHayes, Jamie, Luca Melis, George Danezis e Emiliano De Cristofaro. "LOGAN: Membership Inference Attacks Against Generative Models". Proceedings on Privacy Enhancing Technologies 2019, n.º 1 (1 de janeiro de 2019): 133–52. http://dx.doi.org/10.2478/popets-2019-0008.
Texto completo da fonteHisamoto, Sorami, Matt Post e Kevin Duh. "Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?" Transactions of the Association for Computational Linguistics 8 (julho de 2020): 49–63. http://dx.doi.org/10.1162/tacl_a_00299.
Texto completo da fonteGao, Junyao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng e Cairong Zhao. "Similarity Distribution Based Membership Inference Attack on Person Re-identification". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 12 (26 de junho de 2023): 14820–28. http://dx.doi.org/10.1609/aaai.v37i12.26731.
Texto completo da fonteWang, Xiuling, e Wendy Hui Wang. "Subgraph Structure Membership Inference Attacks against Graph Neural Networks". Proceedings on Privacy Enhancing Technologies 2024, n.º 4 (outubro de 2024): 268–90. http://dx.doi.org/10.56553/popets-2024-0116.
Texto completo da fonteLee, Jinhee, e Inseok Song. "Effect of Prior Information on Bayesian Membership Calculations for Nearby Young Star Associations". Proceedings of the International Astronomical Union 10, S314 (novembro de 2015): 67–68. http://dx.doi.org/10.1017/s1743921315006341.
Texto completo da fonteMoore, Hunter D., Andrew Stephens e William Scherer. "An Understanding of the Vulnerability of Datasets to Disparate Membership Inference Attacks". Journal of Cybersecurity and Privacy 2, n.º 4 (14 de dezembro de 2022): 882–906. http://dx.doi.org/10.3390/jcp2040045.
Texto completo da fonteZakovorotniy, Alexander, e Artem Kharchenko. "Properties of interval type-2 fuzzy sets in decision support systems". Bulletin of the National Technical University «KhPI» Series: New solutions in modern technologies, n.º 4 (10) (30 de dezembro de 2021): 75–81. http://dx.doi.org/10.20998/2413-4295.2021.04.10.
Texto completo da fonteDionysiou, Antreas, e Elias Athanasopoulos. "SoK: Membership Inference is Harder Than Previously Thought". Proceedings on Privacy Enhancing Technologies 2023, n.º 3 (julho de 2023): 286–306. http://dx.doi.org/10.56553/popets-2023-0082.
Texto completo da fonteLintilhac, Paul, Henry Scheible e Nathaniel D. Bastian. "Datamodel Distance: A New Metric for Privacy". Proceedings of the AAAI Symposium Series 4, n.º 1 (8 de novembro de 2024): 68–75. http://dx.doi.org/10.1609/aaaiss.v4i1.31773.
Texto completo da fonteGAO, XIN, YUAN GAO e DAN A. RALESCU. "ON LIU'S INFERENCE RULE FOR UNCERTAIN SYSTEMS". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18, n.º 01 (fevereiro de 2010): 1–11. http://dx.doi.org/10.1142/s0218488510006349.
Texto completo da fonteZhao, Lai Gang, e Dao Jiong Chen. "A Fuzzy Control Method in ACC of the Constant Interval Mode". Advanced Materials Research 201-203 (fevereiro de 2011): 2083–86. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.2083.
Texto completo da fonteBarraza, Juan, Patricia Melin, Fevrier Valdez e Claudia I. Gonzalez. "Modeling of Fuzzy Systems Based on the Competitive Neural Network". Applied Sciences 13, n.º 24 (8 de dezembro de 2023): 13091. http://dx.doi.org/10.3390/app132413091.
Texto completo da fonteAbbasi Tadi, Ali, Saroj Dayal, Dima Alhadidi e Noman Mohammed. "Comparative Analysis of Membership Inference Attacks in Federated and Centralized Learning". Information 14, n.º 11 (19 de novembro de 2023): 620. http://dx.doi.org/10.3390/info14110620.
Texto completo da fonteCheng, Min-Yuan, e Nhat-Duc Hoang. "A Self-Adaptive Fuzzy Inference Model Based on Least Squares SVM for Estimating Compressive Strength of Rubberized Concrete". International Journal of Information Technology & Decision Making 15, n.º 03 (maio de 2016): 603–19. http://dx.doi.org/10.1142/s0219622016500140.
Texto completo da fonteShejwalkar, Virat, e Amir Houmansadr. "Membership Privacy for Machine Learning Models Through Knowledge Transfer". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 11 (18 de maio de 2021): 9549–57. http://dx.doi.org/10.1609/aaai.v35i11.17150.
Texto completo da fonteAlfarisy, Gusti Ahmad Fanshuri, e Wayan Firdaus Mahmudy. "Rainfall Forecasting in Banyuwangi Using Adaptive Neuro Fuzzy Inference System". Journal of Information Technology and Computer Science 1, n.º 2 (8 de fevereiro de 2017): 65. http://dx.doi.org/10.25126/jitecs.20161212.
Texto completo da fonteAnsaf, Huda, Bahaa Kazem Ansaf e Sanaa S. Al Samahi. "A Neuro-Fuzzy Technique for the Modeling of β-Glucosidase Activity from Agaricus bisporus". BioChem 1, n.º 3 (19 de outubro de 2021): 159–73. http://dx.doi.org/10.3390/biochem1030013.
Texto completo da fonteTejash U. Chaudhari, Vimal B. Patel, Rahul G. Thakkar e Chetanpal Singh. "Comparative analysis of Mamdani, Larsen and Tsukamoto methods of fuzzy inference system for students’ academic performance evaluation". International Journal of Science and Research Archive 9, n.º 1 (30 de junho de 2023): 517–23. http://dx.doi.org/10.30574/ijsra.2023.9.1.0443.
Texto completo da fonteLI, Jing, e Wei-dong TIAN. "Fuzzy inference system based on B-spline membership function". Journal of Computer Applications 31, n.º 2 (6 de abril de 2011): 490–92. http://dx.doi.org/10.3724/sp.j.1087.2011.00490.
Texto completo da fonteFan, Jianqing, Yingying Fan, Xiao Han e Jinchi Lv. "SIMPLE: Statistical inference on membership profiles in large networks". Journal of the Royal Statistical Society: Series B (Statistical Methodology) 84, n.º 2 (30 de março de 2022): 630–53. http://dx.doi.org/10.1111/rssb.12505.
Texto completo da fonteBen Hamida, Sana, Hichem Mrabet, Sana Belguith, Adeeb Alhomoud e Abderrazak Jemai. "Towards Securing Machine Learning Models Against Membership Inference Attacks". Computers, Materials & Continua 70, n.º 3 (2022): 4897–919. http://dx.doi.org/10.32604/cmc.2022.019709.
Texto completo da fonteSAKUMA, Akira. "Inference on the Fuzzy Equivalence with Step Membership Function." Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics 23, n.º 2 (1992): 521–25. http://dx.doi.org/10.3999/jscpt.23.521.
Texto completo da fonteZrilic, Djuro G., Jaime Ramirez-Angulo e Bo Yuan. "Hardware implementations of fuzzy membership functions, operations, and inference". Computers & Electrical Engineering 26, n.º 1 (janeiro de 2000): 85–105. http://dx.doi.org/10.1016/s0045-7906(99)00025-7.
Texto completo da fonteBamshad, Michael J., Stephen Wooding, W. Scott Watkins, Christopher T. Ostler, Mark A. Batzer e Lynn B. Jorde. "Human Population Genetic Structure and Inference of Group Membership". American Journal of Human Genetics 72, n.º 3 (março de 2003): 578–89. http://dx.doi.org/10.1086/368061.
Texto completo da fonteKWON, Hyun, e Yongchul KIM. "Toward Selective Membership Inference Attack against Deep Learning Model". IEICE Transactions on Information and Systems E105.D, n.º 11 (1 de novembro de 2022): 1911–15. http://dx.doi.org/10.1587/transinf.2022ngl0001.
Texto completo da fonteRiaz, Shazia, Saqib Ali, Guojun Wang, Muhammad Ahsan Latif e Muhammad Zafar Iqbal. "Membership inference attack on differentially private block coordinate descent". PeerJ Computer Science 9 (5 de outubro de 2023): e1616. http://dx.doi.org/10.7717/peerj-cs.1616.
Texto completo da fonteZhang, Yun, e Chaoxia Qin. "A Gaussian-Shaped Fuzzy Inference System for Multi-Source Fuzzy Data". Systems 10, n.º 6 (15 de dezembro de 2022): 258. http://dx.doi.org/10.3390/systems10060258.
Texto completo da fonteAshraf, Ather, Muhammad Akram e Mansoor Sarwar. "Type-II Fuzzy Decision Support System for Fertilizer". Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/695815.
Texto completo da fonteVoronina, Ekaterina V., Viktor E. Reutov, Olga B. Yarosh e Sergei V. Khalezin. "Formation of a Science-Based Real Estate Services Market Management Mechanism". Materials Science Forum 931 (setembro de 2018): 1172–77. http://dx.doi.org/10.4028/www.scientific.net/msf.931.1172.
Texto completo da fonteYunda, Leonardo, David Pacheco e Jorge Millan. "A Web-based Fuzzy Inference System Based Tool for Cardiovascular Disease Risk Assessment". Nova 13, n.º 24 (15 de dezembro de 2015): 7. http://dx.doi.org/10.22490/24629448.1712.
Texto completo da fonteHayashi, Kenichiro, Akifumi Otsubo e Kazuhiko Shiranita. "Fuzzy Control Using Piecewise Linear Membership Functions Based on Knowledge of Tuning a PID Controller". Journal of Advanced Computational Intelligence and Intelligent Informatics 5, n.º 1 (20 de janeiro de 2001): 71–77. http://dx.doi.org/10.20965/jaciii.2001.p0071.
Texto completo da fonteSant'Ana, Vitor Taha, e Roberto Mendes Finzi Neto. "A case study on neuro-fuzzy architectures applied to the system identification of a reduced scale fighter aircraft". OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA 22, n.º 1 (18 de janeiro de 2024): 1898–919. http://dx.doi.org/10.55905/oelv22n1-099.
Texto completo da fonteMohammad Khan, Farhan, Smriti Sridhar e Rajiv Gupta. "Detection of waterborne bacteria using Adaptive Neuro-Fuzzy Inference System". E3S Web of Conferences 158 (2020): 05002. http://dx.doi.org/10.1051/e3sconf/202015805002.
Texto completo da fonteAL-Saedi, Louloua M. AL, Methaq Talib Gaata, Mostafa Abotaleb e Hussein Alkattan. "New Approach of Estimating Sarcasm based on the percentage of happiness of facial Expression using Fuzzy Inference System". Journal of Artificial Intelligence and Metaheuristics 1, n.º 1 (2022): 35–44. http://dx.doi.org/10.54216/jaim.010104.
Texto completo da fonteVelikanova, A. S., K. A. Polshchykov, R. V. Likhosherstov e A. K. Polshchykova. "The use of virtual reality and fuzzy neural network tools to identify the focus on achieving project results". Journal of Physics: Conference Series 2060, n.º 1 (1 de outubro de 2021): 012017. http://dx.doi.org/10.1088/1742-6596/2060/1/012017.
Texto completo da fonteJarin, Ismat, e Birhanu Eshete. "MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members". Proceedings on Privacy Enhancing Technologies 2023, n.º 1 (janeiro de 2023): 400–416. http://dx.doi.org/10.56553/popets-2023-0024.
Texto completo da fontePark, Cheolhee, Youngsoo Kim, Jong-Geun Park, Dowon Hong e Changho Seo. "Evaluating Differentially Private Generative Adversarial Networks Over Membership Inference Attack". IEEE Access 9 (2021): 167412–25. http://dx.doi.org/10.1109/access.2021.3137278.
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