Rachel Cummings

Citirano

	Sve	Od 2019.
Citati	8690	8240
H-indeks	25	24
i10-indeks	37	36

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Suautori

Katrina LigettHebrew UniversityPotvrđena adresa e-pošte na mail.huji.ac.il
Wanrong ZhangHarvard UniversityPotvrđena adresa e-pošte na fas.harvard.edu
Aaron RothProfessor of Computer Science, University of PennsylvaniaPotvrđena adresa e-pošte na cis.upenn.edu
Elissa M. RedmilesClare Luce Boothe Assistant Professor, Georgetown UniversityPotvrđena adresa e-pošte na georgetown.edu
Gabriel KaptchukAssistant Professor, University of MarylandPotvrđena adresa e-pošte na umd.edu
Zhiwei Steven WuCarnegie Mellon UniversityPotvrđena adresa e-pošte na andrew.cmu.edu
Wei Chen （陈卫）Microsoft ResearchPotvrđena adresa e-pošte na microsoft.com
Wei WeiResearch Scientist at GooglePotvrđena adresa e-pošte na cs.cmu.edu
Zhenming LiuCollege of William and MaryPotvrđena adresa e-pošte na cs.wm.edu
Yifei YuanupennPotvrđena adresa e-pošte na cis.upenn.edu
Yajun WangMicrosoft CorporationPotvrđena adresa e-pošte na microsoft.com
David Rincón RiveraDept. of Network Engineering, Universitat Politècnica de Catalunya (UPC - BarcelonaTech)Potvrđena adresa e-pošte na upc.edu
Jamie MorgensternUniversity of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Dhamma KimparaPhD Student, University of Colorado BoulderPotvrđena adresa e-pošte na colorado.edu
Sara KrehbielAssistant Professor of Mathematics and Computer Science, Santa Clara UniversityPotvrđena adresa e-pošte na scu.edu
Uthaipon TantipongpipatTwitterPotvrđena adresa e-pošte na twitter.com
T. Tony KeChinese University of Hong KongPotvrđena adresa e-pošte na cuhk.edu.hk
Xiaorui SunUniversity of Illinois at ChicagoPotvrđena adresa e-pošte na uic.edu
Chris WaitesStanford UniversityPotvrđena adresa e-pošte na stanford.edu
David DotyAssociate Professor of Computer Science, University of California, DavisPotvrđena adresa e-pošte na ucdavis.edu

Prati

Rachel Cummings

Columbia University

Potvrđena adresa e-pošte na columbia.edu - Početna stranica

Data privacy Machine learning Algorithmic economics Privacy Policy


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...	6551	2021
Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate. W Chen, A Collins, R Cummings, T Ke, Z Liu, D Rincon, X Sun, Y Wang, ... SIAM International Conference on Data Mining (SDM), 379-390, 2011	465	2011
Mariana Raykova, Dawn Song, Weikang Song, Sebastian U P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth …, 2021	207	2021
On the compatibility of privacy and fairness R Cummings, V Gupta, D Kimpara, J Morgenstern Adjunct publication of the 27th conference on user modeling, adaptation and …, 2019	188	2019
" I need a better description": An Investigation Into User Expectations For Differential Privacy R Cummings, G Kaptchuk, EM Redmiles Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021	100	2021
Truthful linear regression R Cummings, S Ioannidis, K Ligett Conference on Learning Theory (COLT), 448-483, 2015	79	2015
Advances and open problems in federated learning. arXiv 2019 P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... arXiv preprint arXiv:1912.04977, 2019	68	2019
Adaptive learning with robust generalization guarantees R Cummings, K Ligett, K Nissim, A Roth, ZS Wu Conference on Learning Theory (COLT), 772-814, 2016	68	2016
Accuracy for sale: Aggregating data with a variance constraint R Cummings, K Ligett, A Roth, ZS Wu, J Ziani Conference on Innovations in Theoretical Computer Science (ITCS), 317-324, 2015	61	2015
Speed faults in computation by chemical reaction networks HL Chen, R Cummings, D Doty, D Soloveichik International Symposium on Distributed Computing (DISC), 16-30, 2014	59	2014
Differentially private synthetic mixed-type data generation for unsupervised learning UT Tantipongpipat, C Waites, D Boob, AA Siva, R Cummings Intelligent Decision Technologies 15 (4), 779-807, 2021	54	2021
Differential privacy for growing databases R Cummings, S Krehbiel, KA Lai, U Tantipongpipat Advances in Neural Information Processing Systems 31, 2018	52	2018
Privacy and truthful equilibrium selection for aggregative games R Cummings, M Kearns, A Roth, ZS Wu Conference Web and Internet Economics (WINE), 286-299, 2015	52	2015
The role of differential privacy in gdpr compliance R Cummings, D Desai FAT’18: Proceedings of the Conference on Fairness, Accountability, and …, 2018	49	2018
Probability 1 computation with chemical reaction networks R Cummings, D Doty, D Soloveichik International Conference on DNA Computing and Molecular Programming (DNA), 37-52, 2014	46	2014
Differentially private change-point detection R Cummings, S Krehbiel, Y Mei, R Tuo, W Zhang Advances in neural information processing systems 31, 2018	44	2018
Attribute privacy: Framework and mechanisms W Zhang, O Ohrimenko, R Cummings Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022	42	2022
Challenges towards the next frontier in privacy R Cummings, D Desfontaines, D Evans, R Geambasu, M Jagielski, ... arXiv preprint arXiv:2304.06929 1, 2023	37	2023
What are the chances? explaining the epsilon parameter in differential privacy P Nanayakkara, MA Smart, R Cummings, G Kaptchuk, EM Redmiles 32nd USENIX Security Symposium (USENIX Security 23), 1613-1630, 2023	35	2023
Online learning and profit maximization from revealed preferences K Amin, R Cummings, L Dworkin, M Kearns, A Roth Conference on Artificial Intelligence (AAAI), 770-776, 2015	35	2015

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