Mohammad Mahmoody

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Saeed MahloujifarPrinceton UniversityVerified email at princeton.edu
Sanjam GargUniversity of California, BerkeleyVerified email at berkeley.edu
Dimitris DiochnosUniversity of Oklahoma, School of Computer ScienceVerified email at math.uic.edu
Somesh JhaLubar Chair of Computer Science, University of WisconsinVerified email at cs.wisc.edu
Kai-Min ChungInstitute of Information Science, Academia SinicaVerified email at iis.sinica.edu.tw
Tal MoranIDC HerzliyaVerified email at idc.ac.il
Salil VadhanVicky Joseph Professor of Computer Science and Applied Mathematics, Harvard UniversityVerified email at g.harvard.edu
Boaz BarakHarvard UniversityVerified email at boazbarak.org
Soheil NematihajiGraduate student, University of VirginiaVerified email at virginia.edu
Abhradeep Guha ThakurtaGoogle Research - Brain TeamVerified email at google.com
Amit SahaiSymantec Chair Professor of Computer Science; Professor of Mathematics (by courtesy), UCLAVerified email at cs.ucla.edu
Yuval IshaiTechnionVerified email at cs.technion.ac.il
Mohammad HajiabadiAssistant Professor, David R. Cheriton School of Computer Science, University of WaterlooVerified email at uwaterloo.ca
Omid EtesamiResearcher, Institute for Research in Fundamental Sciences (IPM)Verified email at ipm.ir
Tal MalkinProfessor of Computer Science, Columbia UniversityVerified email at columbia.edu
Per AustrinAssociate Professor in Computer Science, KTH Royal Institute of TechnologyVerified email at kth.se
Karn SethGoogle LLCVerified email at google.com
Dana Dachman-SoledAssociate Professor, Department of Electrical and Computer Engineering, University of MarylandVerified email at umd.edu
Ahmadreza RahimiMax Planck Institute for Security and PrivacyVerified email at mpi-sp.org
Vipul GoyalCarnegie Mellon UniversityVerified email at cs.cmu.edu

Mohammad Mahmoody

Associate Professor, University of Virginia

Verified email at virginia.edu - Homepage

Foundations of Cryptography Computational Complexity Adversarially Robust Learning


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The curse of concentration in robust learning: Evasion and poisoning attacks from concentration of measure S Mahloujifar, DI Diochnos, M Mahmoody Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4536-4543, 2019	129	2019
Publicly verifiable proofs of sequential work M Mahmoody, T Moran, S Vadhan Proceedings of the 4th conference on Innovations in Theoretical Computer …, 2013	103	2013
Time-lock puzzles in the random oracle model M Mahmoody, T Moran, S Vadhan Advances in Cryptology–CRYPTO 2011: 31st Annual Cryptology Conference, Santa …, 2011	96	2011
Merkle puzzles are optimal—an -query attack on any key exchange from a random oracle B Barak, M Mahmoody Advances in Cryptology-CRYPTO 2009, 374-390, 2009	94	2009
Interactive locking, zero-knowledge PCPs, and unconditional cryptography V Goyal, Y Ishai, M Mahmoody, A Sahai Advances in Cryptology–CRYPTO 2010: 30th Annual Cryptology Conference, Santa …, 2010	73	2010
Adversarial risk and robustness: General definitions and implications for the uniform distribution D Diochnos, S Mahloujifar, M Mahmoody Advances in Neural Information Processing Systems 31, 2018	61	2018
On the black-box complexity of optimally-fair coin tossing D Dachman-Soled, Y Lindell, M Mahmoody, T Malkin Theory of Cryptography: 8th Theory of Cryptography Conference, TCC 2011 …, 2011	61	2011
Is private learning possible with instance encoding? N Carlini, S Deng, S Garg, S Jha, S Mahloujifar, M Mahmoody, A Thakurta, ... 2021 IEEE Symposium on Security and Privacy (SP), 410-427, 2021	54*	2021
Universal Multi-Party Poisoning Attacks S Mahloujifar, M Mahmoody, A Mohammed International Conference on Machine Learning, 4274-4283, 2019	53*	2019
On the impossibility of cryptography with tamperable randomness P Austrin, KM Chung, M Mahmoody, R Pass, K Seth Advances in Cryptology–CRYPTO 2014: 34th Annual Cryptology Conference, Santa …, 2014	51	2014
Lower bounds on signatures from symmetric primitives B Barak, M Mahmoody 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 680-688, 2007	51	2007
The curious case of non-interactive commitments–on the power of black-box vs. non-black-box use of primitives M Mahmoody, R Pass Advances in Cryptology–CRYPTO 2012: 32nd Annual Cryptology Conference, Santa …, 2012	39	2012
Can Adversarially Robust Learning Leverage Computational Hardness? S Mahloujifar, M Mahmoody Algorithmic Learning Theory, 581-609, 2019	37	2019
Can optimally-fair coin tossing be based on one-way functions? D Dachman-Soled, M Mahmoody, T Malkin Theory of Cryptography: 11th Theory of Cryptography Conference, TCC 2014 …, 2014	34	2014
On the power of randomized reductions and the checkability of SAT M Mahmoody, D Xiao 2010 IEEE 25th Annual Conference on Computational Complexity, 64-75, 2010	31	2010
Registration-based encryption: removing private-key generator from IBE S Garg, M Hajiabadi, M Mahmoody, A Rahimi Theory of Cryptography: 16th International Conference, TCC 2018, Panaji …, 2018	30	2018
On efficient zero-knowledge PCPs Y Ishai, M Mahmoody, A Sahai Theory of Cryptography: 9th Theory of Cryptography Conference, TCC 2012 …, 2012	30	2012
On the power of nonuniformity in proofs of security KM Chung, H Lin, M Mahmoody, R Pass Proceedings of the 4th conference on Innovations in Theoretical Computer …, 2013	29	2013
Learning under -Tampering Attacks S Mahloujifar, DI Diochnos, M Mahmoody Algorithmic Learning Theory, 572-596, 2018	27	2018
A new sampling protocol and applications to basing cryptographic primitives on the hardness of NP I Haitner, M Mahmoody, D Xiao 2010 IEEE 25th Annual Conference on Computational Complexity, 76-87, 2010	25	2010

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