Rachel Cummings

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Katrina LigettHebrew UniversityE-mail confirmado em mail.huji.ac.il
Wanrong ZhangHarvard UniversityE-mail confirmado em fas.harvard.edu
Aaron RothProfessor of Computer Science, University of PennsylvaniaE-mail confirmado em cis.upenn.edu
Gabriel KaptchukAssistant Professor, University of MarylandE-mail confirmado em umd.edu
Elissa M. RedmilesClare Luce Boothe Assistant Professor, Georgetown UniversityE-mail confirmado em georgetown.edu
Zhiwei Steven WuCarnegie Mellon UniversityE-mail confirmado em andrew.cmu.edu
Wei Chen （陈卫）Microsoft ResearchE-mail confirmado em microsoft.com
Wei WeiResearch Scientist at GoogleE-mail confirmado em cs.cmu.edu
Zhenming LiuCollege of William and MaryE-mail confirmado em cs.wm.edu
Yifei YuanupennE-mail confirmado em cis.upenn.edu
Yajun WangMicrosoft CorporationE-mail confirmado em microsoft.com
David Rincón RiveraDept. of Network Engineering, Universitat Politècnica de Catalunya (UPC - BarcelonaTech)E-mail confirmado em upc.edu
Uthaipon TantipongpipatTwitterE-mail confirmado em twitter.com
Jamie MorgensternUniversity of WashingtonE-mail confirmado em cs.washington.edu
Dhamma KimparaPhD Student, University of Colorado BoulderE-mail confirmado em colorado.edu
Sara KrehbielAssistant Professor of Mathematics and Computer Science, Santa Clara UniversityE-mail confirmado em scu.edu
Chris WaitesStanford UniversityE-mail confirmado em stanford.edu
T. Tony KeChinese University of Hong KongE-mail confirmado em cuhk.edu.hk
Xiaorui SunUniversity of Illinois at ChicagoE-mail confirmado em uic.edu
Digvijay BoobSouthern Methodist UniversityE-mail confirmado em smu.edu

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Rachel Cummings

Columbia University

E-mail confirmado em columbia.edu - Página inicial

Data privacy Machine learning Algorithmic economics Privacy Policy


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...	7193	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	466	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	212	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	207	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	113	2021
Truthful linear regression R Cummings, S Ioannidis, K Ligett Conference on Learning Theory (COLT), 448-483, 2015	79	2015
Adaptive learning with robust generalization guarantees R Cummings, K Ligett, K Nissim, A Roth, ZS Wu Conference on Learning Theory (COLT), 772-814, 2016	71	2016
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	67	2019
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	62	2014
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	60	2015
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	59	2015
Differential privacy for growing databases R Cummings, S Krehbiel, KA Lai, U Tantipongpipat Advances in Neural Information Processing Systems 31, 2018	53	2018
The role of differential privacy in gdpr compliance R Cummings, D Desai FAT’18: Proceedings of the Conference on Fairness, Accountability, and …, 2018	52	2018
Attribute privacy: Framework and mechanisms W Zhang, O Ohrimenko, R Cummings Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022	47	2022
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	47	2014
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	46	2023
Differentially private change-point detection R Cummings, S Krehbiel, Y Mei, R Tuo, W Zhang Advances in neural information processing systems 31, 2018	43	2018
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
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	36	2015
Outlier-robust optimal transport: Duality, structure, and statistical analysis S Nietert, Z Goldfeld, R Cummings International Conference on Artificial Intelligence and Statistics, 11691-11719, 2022	35	2022

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