Prateek Mittal

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Arjun Nitin BhagojiResearch Scientist, University of ChicagoVerified email at uchicago.edu
Nikita BorisovProfessor of Electrical and Computer Engineering, University of Illinois at UrbanaVerified email at illinois.edu
Vikash SehwagPrinceton UniversityVerified email at princeton.edu
Daniel CullinaPenn StateVerified email at psu.edu
Liwei SongPhD Student, Princeton UniversityVerified email at princeton.edu
Saeed MahloujifarFAIR, Meta AIVerified email at meta.com
Jennifer RexfordProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
HV PoorMichael Henry Strater University Professor, Princeton UniversityVerified email at princeton.edu
Shouling JiZhejiang University & Georgia Institute of TechnologyVerified email at gatech.edu
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Yixin SunAssistant Professor, University of VirginiaVerified email at virginia.edu
Matthew CaesarProfessor of Computer Science, University of IllinoisVerified email at illinois.edu
Supriyo ChakrabortySenior Research Scientist, IBM ResearchVerified email at us.ibm.com
Arsalan MoseniaGoogle, and New York University (NYU)Verified email at google.com
Chawin SitawarinPhD Candidate, University of California, BerkeleyVerified email at berkeley.edu
Neil Zhenqiang GongAssistant Professor, Duke UniversityVerified email at duke.edu
Peng GaoAssistant Professor, Department of Computer Science, Virginia TechVerified email at vt.edu
Sanjeev KulkarniProfessor of Electrical Engineering, Princeton UniversityVerified email at princeton.edu
Chong XiangPrinceton UniversityVerified email at princeton.edu
Raheem BeyahDean and Southern Company Chair, Georgia Tech College of EngineeringVerified email at ece.gatech.edu

Prateek Mittal

Professor, Princeton University

Verified email at princeton.edu - Homepage

Security and Privacy Systems and Networking Machine Learning


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Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and Trends® in Machine Learning 14 (1–2), 1-210, 2021	3388	2021
Analyzing federated learning through an adversarial lens AN Bhagoji, S Chakraborty, P Mittal, S Calo International Conference on Machine Learning, 634-643, 2019	737	2019
Sybilinfer: Detecting sybil nodes using social networks. G Danezis, P Mittal Ndss, 1-15, 2009	597	2009
EASiER: Encryption-based access control in social networks with efficient revocation S Jahid, P Mittal, N Borisov Proceedings of the 6th ACM Symposium on Information, Computer and …, 2011	589	2011
BotGrep: Finding P2P Bots with Structured Graph Analysis. S Nagaraja, P Mittal, CY Hong, M Caesar, N Borisov USENIX security symposium 10, 95-110, 2010	333	2010
BlackIoT: IoT botnet of high wattage devices can disrupt the power grid S Soltan, P Mittal, HV Poor 27th {USENIX} Security Symposium ({USENIX} Security 18), 15-32, 2018	312	2018
Robustbench: a standardized adversarial robustness benchmark F Croce, M Andriushchenko, V Sehwag, E Debenedetti, N Flammarion, ... arXiv preprint arXiv:2010.09670, 2020	303	2020
Evolution of social-attribute networks: measurements, modeling, and implications using google+ NZ Gong, W Xu, L Huang, P Mittal, E Stefanov, V Sekar, D Song Proceedings of the 2012 internet measurement conference, 131-144, 2012	262	2012
{RAPTOR}: Routing attacks on privacy in tor Y Sun, A Edmundson, L Vanbever, O Li, J Rexford, M Chiang, P Mittal 24th {USENIX} Security Symposium ({USENIX} Security 15), 271-286, 2015	250	2015
Denial of service or denial of security? N Borisov, G Danezis, P Mittal, P Tabriz Proceedings of the 14th ACM conference on Computer and communications …, 2007	242	2007
Darts: Deceiving autonomous cars with toxic signs C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal arXiv preprint arXiv:1802.06430, 2018	235	2018
Dependence makes you vulnberable: Differential privacy under dependent tuples. C Liu, S Chakraborty, P Mittal NDSS 16, 21-24, 2016	219	2016
Enhancing robustness of machine learning systems via data transformations AN Bhagoji, D Cullina, C Sitawarin, P Mittal 2018 52nd Annual Conference on Information Sciences and Systems (CISS), 1-5, 2018	198	2018
Sybilbelief: A semi-supervised learning approach for structure-based sybil detection NZ Gong, M Frank, P Mittal IEEE Transactions on Information Forensics and Security 9 (6), 976-987, 2014	196	2014
Dimensionality reduction as a defense against evasion attacks on machine learning classifiers AN Bhagoji, D Cullina, P Mittal arXiv preprint arXiv:1704.02654 2 (1), 2017	173	2017
Privacy risks of securing machine learning models against adversarial examples L Song, R Shokri, P Mittal Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019	166	2019
DECENT: A decentralized architecture for enforcing privacy in online social networks S Jahid, S Nilizadeh, P Mittal, N Borisov, A Kapadia 2012 IEEE International Conference on Pervasive Computing and Communications …, 2012	166	2012
Cachet: a decentralized architecture for privacy preserving social networking with caching S Nilizadeh, S Jahid, P Mittal, N Borisov, A Kapadia Proceedings of the 8th international conference on Emerging networking …, 2012	164	2012
Systematic Evaluation of Privacy Risks of Machine Learning Models. L Song, P Mittal USENIX Security Symposium 1 (2), 4, 2021	159	2021
F: Honest-majority maliciously secure framework for private deep learning S Wagh, S Tople, F Benhamouda, E Kushilevitz, P Mittal, T Rabin Proceedings on Privacy Enhancing Technologies 2021 (1), 188-208, 2021	154	2021

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