Prateek Mittal

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Arjun BhagojiResearch Scientist, University of ChicagoVerified email at uchicago.edu
Vikash SehwagSony AI; Princeton UniversityVerified email at princeton.edu
Nikita BorisovProfessor of Electrical and Computer Engineering, University of Illinois at UrbanaVerified email at illinois.edu
Saeed MahloujifarFAIR, MetaVerified email at meta.com
Liwei SongPhD Student, Princeton UniversityVerified email at princeton.edu
Daniel CullinaPenn StateVerified email at psu.edu
Jennifer RexfordProfessor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Chong XiangPrinceton UniversityVerified email at princeton.edu
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
HV PoorMichael Henry Strater University Professor, Princeton UniversityVerified email at princeton.edu
Supriyo ChakrabortyDistinguished Applied Researcher, AI Foundations, Capital OneVerified email at capitalone.com
Shouling JiProfessor, Zhejiang University & Georgia Institute of TechnologyVerified email at gatech.edu
Peng GaoAssistant Professor, Department of Computer Science, Virginia TechVerified email at vt.edu
Sameer WaghDevron; UC Berkeley; Princeton UniversityVerified email at alumni.princeton.edu
Yixin SunAssistant Professor, University of VirginiaVerified email at virginia.edu
Sanjeev KulkarniProfessor of Electrical and Computer Engineering, Princeton UniversityVerified email at princeton.edu
Chawin SitawarinPostdoctoral Researcher @ MetaVerified email at meta.com
Arsalan MoseniaGoogle, and New York University (NYU)Verified email at google.com
Matthew CaesarProfessor of Computer Science, University of IllinoisVerified email at illinois.edu
Neil Zhenqiang GongAssociate Professor, Duke UniversityVerified email at duke.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	6670	2021
Analyzing federated learning through an adversarial lens AN Bhagoji, S Chakraborty, P Mittal, S Calo International conference on machine learning, 634-643, 2019	1329	2019
Robustbench: a standardized adversarial robustness benchmark F Croce, M Andriushchenko, V Sehwag, E Debenedetti, N Flammarion, ... arXiv preprint arXiv:2010.09670, 2020	759	2020
Sybilinfer: Detecting sybil nodes using social networks. G Danezis, P Mittal Ndss 9, 1-15, 2009	626	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	594	2011
Rocking drones with intentional sound noise on gyroscopic sensors Y Son, H Shin, D Kim, Y Park, J Noh, K Choi, J Choi, Y Kim 24th USENIX Security Symposium (USENIX Security 15), 881-896, 2015	473	2015
Rocking drones with intentional sound noise on gyroscopic sensors Y Son, H Shin, D Kim, Y Park, J Noh, K Choi, J Choi, Y Kim 24th USENIX Security Symposium (USENIX Security 15), 881-896, 2015	473	2015
{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	432	2018
Systematic evaluation of privacy risks of machine learning models L Song, P Mittal 30th USENIX Security Symposium (USENIX Security 21), 2615-2632, 2021	386	2021
Fine-tuning aligned language models compromises safety, even when users do not intend to! X Qi, Y Zeng, T Xie, PY Chen, R Jia, P Mittal, P Henderson arXiv preprint arXiv:2310.03693, 2023	369	2023
Ssd: A unified framework for self-supervised outlier detection V Sehwag, M Chiang, P Mittal arXiv preprint arXiv:2103.12051, 2021	358	2021
{BotGrep}: Finding {P2P} Bots with Structured Graph Analysis S Nagaraja, P Mittal, CY Hong, M Caesar, N Borisov 19th USENIX Security Symposium (USENIX Security 10), 2010	357	2010
Darts: Deceiving autonomous cars with toxic signs C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal arXiv preprint arXiv:1802.06430, 2018	307	2018
Falcon: Honest-majority maliciously secure framework for private deep learning S Wagh, S Tople, F Benhamouda, E Kushilevitz, P Mittal, T Rabin arXiv preprint arXiv:2004.02229, 2020	304	2020
{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	300	2015
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	284	2019
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	272	2012
Dependence makes you vulnberable: Differential privacy under dependent tuples. C Liu, S Chakraborty, P Mittal NDSS 16, 21-24, 2016	271	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	258	2018
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	255	2007

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