Justin Hsu

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Gilles BartheMPI-SP and IMDEA Software InstituteVerified email at mpi-sp.org
Marco GaboardiBoston UniversityVerified email at bu.edu
Pierre-Yves StrubResearch Scientist, PQShieldVerified email at strub.nu
Aaron RothProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Benjamin GregoireInria Sophia-AntipolisVerified email at inria.fr
Gallego Arias, Emilio JesúsStarting Reseacher, Inria, Université de Paris, IRIF, CNRS, F-75013 Paris, FranceVerified email at x80.org
Thomas EspitauLead researcher, PQShieldVerified email at pqshield.com
Benjamin C. PierceProfessor of Computer and Information Science, University of PennsylvaniaVerified email at cis.upenn.edu
Alexandra SilvaCornell UniversityVerified email at cornell.edu
Andreas HaeberlenUniversity of PennsylvaniaVerified email at cis.upenn.edu
Tetsuya SatoTokyo Institute of TechnologyVerified email at c.titech.ac.jp
Arjun NarayanMaterialize, Inc.Verified email at materialize.io
Sanjeev KhannaHenry Salvatori Professor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu
Arthur Azevedo de AmorimRochester Institute of TechnologyVerified email at rit.edu
Zhiwei Steven WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Aws AlbarghouthiUniversity of Wisconsin–MadisonVerified email at cs.wisc.edu
Dexter KozenProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Nate FosterProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Steffen SmolkaGoogle IncVerified email at google.com
Stephanie WeirichProfessor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.edu

Justin Hsu

Cornell University

Verified email at justinhsu.net - Homepage

Differential Privacy Programming Languages Formal Verification


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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	6215	2021
Differential privacy: An economic method for choosing epsilon J Hsu, M Gaboardi, A Haeberlen, S Khanna, A Narayan, BC Pierce, ... 2014 IEEE 27th Computer Security Foundations Symposium, 398-410, 2014	400	2014
Linear dependent types for differential privacy M Gaboardi, A Haeberlen, J Hsu, A Narayan, BC Pierce Proceedings of the 40th annual ACM SIGPLAN-SIGACT symposium on Principles of …, 2013	230	2013
Data poisoning against differentially-private learners: Attacks and defenses Y Ma, X Zhu, J Hsu arXiv preprint arXiv:1903.09860, 2019	165	2019
Distributed private heavy hitters J Hsu, S Khanna, A Roth Automata, Languages, and Programming: 39th International Colloquium, ICALP …, 2012	145	2012
Fake news detection via NLP is vulnerable to adversarial attacks Z Zhou, H Guan, MM Bhat, J Hsu arXiv preprint arXiv:1901.09657, 2019	123	2019
Proving differential privacy via probabilistic couplings G Barthe, M Gaboardi, B Grégoire, J Hsu, PY Strub Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer …, 2016	111	2016
Dual query: Practical private query release for high dimensional data M Gaboardi, EJG Arias, J Hsu, A Roth, ZS Wu International Conference on Machine Learning, 1170-1178, 2014	110	2014
Higher-Order Approximate Relational Refinement Types for Mechanism Design and Differential Privacy G Barthe, M Gaboardi, EJG Arias, J Hsu, A Roth, PY Strub Proceedings of the 42nd Annual ACM SIGPLAN-SIGACT Symposium on Principles of …, 2015	104	2015
Hypothesis testing interpretations and renyi differential privacy B Balle, G Barthe, M Gaboardi, J Hsu, T Sato International Conference on Artificial Intelligence and Statistics, 2496-2506, 2020	102	2020
Private matchings and allocations J Hsu, Z Huang, A Roth, T Roughgarden, ZS Wu Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014	101	2014
Synthesizing coupling proofs of differential privacy A Albarghouthi, J Hsu Proceedings of the ACM on Programming Languages 2 (POPL), 1-30, 2017	73	2017
System FC with explicit kind equality S Weirich, J Hsu, RA Eisenberg ACM SIGPLAN Notices 48 (9), 275-286, 2013	69	2013
Synthesizing Probabilistic Invariants via Doob’s Decomposition G Barthe, T Espitau, LM Ferrer Fiority, J Hsu Computer Aided Verification: 28th International Conference, CAV 2016 …, 2016	68	2016
A semantic account of metric preservation A Azevedo de Amorim, M Gaboardi, J Hsu, S Katsumata, I Cherigui ACM SIGPLAN Notices 52 (1), 545-556, 2017	64	2017
Advanced probabilistic couplings for differential privacy G Barthe, N Fong, M Gaboardi, B Grégoire, J Hsu, PY Strub Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications …, 2016	63	2016
Proving differential privacy in Hoare logic G Barthe, M Gaboardi, EJG Arias, J Hsu, C Kunz, PY Strub 2014 IEEE 27th Computer Security Foundations Symposium, 411-424, 2014	62	2014
Privately solving linear programs J Hsu, A Roth, T Roughgarden, J Ullman Automata, Languages, and Programming: 41st International Colloquium, ICALP …, 2014	62	2014
Coupling proofs are probabilistic product programs G Barthe, B Grégoire, J Hsu, PY Strub ACM SIGPLAN Notices 52 (1), 161-174, 2017	58	2017
Online assignment of heterogeneous tasks in crowdsourcing markets S Assadi, J Hsu, S Jabbari Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 …, 2015	57	2015

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