Prateek Mittal
Prateek Mittal
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Cited by
Cited by
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
Analyzing federated learning through an adversarial lens
AN Bhagoji, S Chakraborty, P Mittal, S Calo
International Conference on Machine Learning, 634-643, 2019
Sybilinfer: Detecting sybil nodes using social networks.
G Danezis, P Mittal
Ndss, 1-15, 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
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
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
Robustbench: a standardized adversarial robustness benchmark
F Croce, M Andriushchenko, V Sehwag, E Debenedetti, N Flammarion, ...
arXiv preprint arXiv:2010.09670, 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
{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
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
Darts: Deceiving autonomous cars with toxic signs
C Sitawarin, AN Bhagoji, A Mosenia, M Chiang, P Mittal
arXiv preprint arXiv:1802.06430, 2018
Dependence makes you vulnberable: Differential privacy under dependent tuples.
C Liu, S Chakraborty, P Mittal
NDSS 16, 21-24, 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
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
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
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
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
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
Systematic Evaluation of Privacy Risks of Machine Learning Models.
L Song, P Mittal
USENIX Security Symposium 1 (2), 4, 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
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