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
Arthur Azevedo de AmorimRochester Institute of TechnologyVerified email at rit.edu
Sanjeev KhannaHenry Salvatori Professor of Computer Science, University of PennsylvaniaVerified email at cis.upenn.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
Alejandro AguirrePostdoc, Aarhus UniversityVerified email at cs.au.dk

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	7088	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	414	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	242	2013
Data poisoning against differentially-private learners: Attacks and defenses Y Ma, X Zhu, J Hsu arXiv preprint arXiv:1903.09860, 2019	179	2019
Distributed private heavy hitters J Hsu, S Khanna, A Roth Automata, Languages, and Programming: 39th International Colloquium, ICALP …, 2012	150	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	130	2019
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	122	2020
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	116	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	116	2014
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	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	109	2015
Synthesizing coupling proofs of differential privacy A Albarghouthi, J Hsu Proceedings of the ACM on Programming Languages 2 (POPL), 1-30, 2017	78	2017
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	70	2017
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	70	2016
System FC with explicit kind equality S Weirich, J Hsu, RA Eisenberg ACM SIGPLAN Notices 48 (9), 275-286, 2013	69	2013
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	67	2016
Privately solving linear programs J Hsu, A Roth, T Roughgarden, J Ullman Automata, Languages, and Programming: 41st International Colloquium, ICALP …, 2014	65	2014
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	63	2014
Coupling proofs are probabilistic product programs G Barthe, B Grégoire, J Hsu, PY Strub ACM SIGPLAN Notices 52 (1), 161-174, 2017	59	2017
Guarded Kleene algebra with tests: verification of uninterpreted programs in nearly linear time S Smolka, N Foster, J Hsu, T Kappé, D Kozen, A Silva Proceedings of the ACM on Programming Languages 4 (POPL), 1-28, 2019	58	2019

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