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1دورية أكاديمية
المصدر: The Journal of Privacy and Confidentiality, Vol 9, Iss 2 (2019)
مصطلحات موضوعية: differential privacy, local search, search log, Technology, Social Sciences
وصف الملف: electronic resource
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2كتاب
المؤلفون: Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawit, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D’Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaid Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
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المؤلفون: Brendan Avent, Andrei Paleyes, Javier González, Tom Diethe, Borja Balle
المصدر: Proceedings on Privacy Enhancing Technologies, Vol 2020, Iss 4, Pp 5-23 (2020)
مصطلحات موضوعية: pareto front, Computer science, 02 engineering and technology, Machine learning, computer.software_genre, 020204 information systems, differential privacy, 0202 electrical engineering, electronic engineering, information engineering, Differential privacy, bayesian optimization, General Environmental Science, Hyperparameter, Ethics, SIMPLE (military communications protocol), Artificial neural network, business.industry, Bayesian optimization, Pareto principle, Information technology, QA75.5-76.95, Empirical measure, BJ1-1725, Electronic computers. Computer science, General Earth and Planetary Sciences, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f21eb3c2a9f059c99893df976a6cada6
https://doaj.org/article/e56b837c0845448ca65e693881073aa0 -
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المؤلفون: Lie He, Sebastian U. Stich, Mariana Raykova, Phillip B. Gibbons, Mehryar Mohri, David Evans, Badih Ghazi, Felix X. Yu, Sen Zhao, Jianyu Wang, Zheng Xu, Weikang Song, Prateek Mittal, Ramesh Raskar, Zachary Garrett, Farinaz Koushanfar, H. Brendan McMahan, Ayfer Ozgur, Mikhail Khodak, Rafael G. L. D'Oliveira, Jakub Konecní, Aurélien Bellet, Arjun Nitin Bhagoji, Hubert Eichner, Han Yu, Adrià Gascón, Ananda Theertha Suresh, Sanmi Koyejo, Praneeth Vepakomma, Josh Gardner, Chaoyang He, Florian Tramèr, Tancrède Lepoint, Salim El Rouayheb, Peter Kairouz, Li Xiong, Kallista Bonawitz, Rasmus Pagh, Tara Javidi, Mehdi Bennis, Dawn Song, Martin Jaggi, Zhouyuan Huo, Hang Qi, Gauri Joshi, Qiang Yang, Richard Nock, Yang Liu, Brendan Avent, Justin Hsu, Rachel Cummings, Graham Cormode, Marco Gruteser, Aleksandra Korolova, Ziteng Sun, Zaid Harchaoui, Ben Hutchinson, Zachary Charles, Daniel Ramage
المساهمون: Google Research, University of Southern California (USC), Machine Learning in Information Networks (MAGNET), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Centre for Wireless Communications [University of Oulu] (CWC), University of Oulu, Princeton University, University of Warwick [Coventry], Georgia Institute of Technology [Atlanta], Rutgers University System (Rutgers), University of Virginia, University of Washington, Carnegie Mellon University [Pittsburgh] (CMU), Ecole Polytechnique Fédérale de Lausanne (EPFL), University of Pittsburgh, University of Wisconsin-Madison, University of California [San Diego] (UC San Diego), University of California (UC), University of Illinois at Urbana-Champaign [Urbana], University of Illinois System, Nanyang Technological University [Singapour], Australian National University (ANU), Stanford University, IT University of Copenhagen (ITU), Massachusetts Institute of Technology (MIT), University of California [Berkeley] (UC Berkeley), Cornell University [New York], Emory University [Atlanta, GA], Hong Kong University of Science and Technology (HKUST), ANR-20-CE23-0015,PRIDE,Apprentissage automatique décentralisé et préservant la vie privée(2020), ANR-16-CE23-0016,PAMELA,Apprentissage automatique décentralisé et personnalisé sous contraintes(2016), Ecole Centrale de Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Ecole Centrale de Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), University of Virginia [Charlottesville], University of California, IT University of Copenhagen, University of California [Berkeley], Cornell University
المصدر: Foundations and Trends in Machine Learning
Foundations and Trends in Machine Learning, 2021, 14 (1-2), pp.1-210
Foundations and Trends in Machine Learning, Now Publishers, 2021, 14 (1-2), pp.1-210مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, bias, Computer Science - Cryptography and Security, Computer science, Cryptography, 02 engineering and technology, Machine Learning (cs.LG), Statistical learning theory, 0302 clinical medicine, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Statistics - Machine Learning, differential privacy, 0202 electrical engineering, electronic engineering, information engineering, Access control, 030212 general & internal medicine, 0303 health sciences, Information theory and computer science, Service provider, Computational complexity, Privacy, Data compression, 020201 artificial intelligence & image processing, Anonymity, Raw data, Cryptography and Security (cs.CR), Optimization, Big data analytics and privacy, Machine Learning (stat.ML), Clustering, 03 medical and health sciences, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Cryptology and data security, Artificial Intelligence, 020204 information systems, Quantization, Information retrieval, Privacy-preserving systems, Robustness, Data mining, Distributed systems security and privacy, 030304 developmental biology, Ethics, inference, business.industry, Deep learning, Database theory, Information theory and statistics, Communication complexity, Artificial Intelligence methods in security and privacy, Data science, Distributed computing, Human-Computer Interaction, Security, Web science, Artificial intelligence, business, Software
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b1ccc10027ba1ce68ce0210510e8bdc
https://inria.hal.science/hal-02406503v2/document -
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المؤلفون: Yatharth Dubey, Brendan Avent, Aleksandra Korolova
المصدر: Proceedings on Privacy Enhancing Technologies, Vol 2020, Iss 4, Pp 48-68 (2020)
مصطلحات موضوعية: FOS: Computer and information sciences, Mathematical optimization, Computer Science - Machine Learning, Computer Science - Cryptography and Security, Computer science, Parameterized complexity, hybrid model, 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Machine Learning (cs.LG), differential privacy, Computer Science - Data Structures and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, Differential privacy, Data Structures and Algorithms (cs.DS), Preference (economics), 0105 earth and related environmental sciences, General Environmental Science, Ethics, Heuristic, Estimator, Variance (accounting), QA75.5-76.95, BJ1-1725, Distribution (mathematics), mean estimation, Bounded function, Electronic computers. Computer science, General Earth and Planetary Sciences, 020201 artificial intelligence & image processing, Cryptography and Security (cs.CR)
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0abc708f87b1bde4558100241eb54b52
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المؤلفون: Anna Ritz, Brendan Avent, T. M. Murali
المصدر: IEEE/ACM transactions on computational biology and bioinformatics. 14(5)
مصطلحات موضوعية: Hypergraph, Theoretical computer science, Linear programming, Computer science, Applied Mathematics, Systems biology, Quantitative Biology::Molecular Networks, Systems Biology, Wnt signaling pathway, Computational Biology, Pathway analysis, Steiner tree problem, Models, Biological, Article, Combinatorics, symbols.namesake, Directed hypergraph, Genetics, symbols, Humans, Integer programming, Wnt Signaling Pathway, Algorithms, Biotechnology, Signal Transduction