| 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 | 294 | 2014 |
| Software Foundations. Electronic textbook. Version 4.0 BC Pierce, AA de Amorim, C Casinghino, M Gaboardi, M Greenberg, ... | 217* | 2016 |
| 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 | 197 | 2013 |
| Differential privacy: A primer for a non-technical audience A Wood, M Altman, A Bembenek, M Bun, M Gaboardi, J Honaker, ... Vand. J. Ent. & Tech. L. 21, 209, 2018 | 172 | 2018 |
| Privacy amplification by subsampling: Tight analyses via couplings and divergences B Balle, G Barthe, M Gaboardi Advances in Neural Information Processing Systems 31, 2018 | 160 | 2018 |
| Linear dependent types and relative completeness U Dal Lago, M Gaboardi Logic in Computer Science (LICS), 2011 26th Annual IEEE Symposium on, 133-142, 2011 | 132 | 2011 |
| Differentially private chi-squared hypothesis testing: Goodness of fit and independence testing M Gaboardi, H Lim, R Rogers, S Vadhan International conference on machine learning, 2111-2120, 2016 | 119 | 2016 |
| Higher-order approximate relational refinement types for mechanism design and differential privacy G Barthe, M Gaboardi, EJ Gallego Arias, J Hsu, A Roth, PY Strub Proceedings of the 42nd Annual ACM SIGPLAN-SIGACT Symposium on Principles of …, 2015 | 92 | 2015 |
| Proving differential privacy via probabilistic couplings G Barthe, M Gaboardi, B Grégoire, J Hsu, PY Strub 2016 31st Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), 1-10, 2016 | 83 | 2016 |
| A core quantitative coeffect calculus A Brunel, M Gaboardi, D Mazza, S Zdancewic European Symposium on Programming Languages and Systems, 351-370, 2014 | 83 | 2014 |
| Relational cost analysis E Çiçek, G Barthe, M Gaboardi, D Garg, J Hoffmann ACM SIGPLAN Notices 52 (1), 316-329, 2017 | 75 | 2017 |
| 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 | 72 | 2014 |
| A Soft Type Assignment System for λ-Calculus M Gaboardi, S Ronchi Della Rocca International Workshop on Computer Science Logic, 253-267, 2007 | 68 | 2007 |
| Psi ({\Psi}): a private data sharing interface M Gaboardi, J Honaker, G King, J Murtagh, K Nissim, J Ullman, S Vadhan arXiv preprint arXiv:1609.04340, 2016 | 66 | 2016 |
| Combining effects and coeffects via grading M Gaboardi, S Katsumata, D Orchard, F Breuvart, T Uustalu ACM SIGPLAN Notices 51 (9), 476-489, 2016 | 66 | 2016 |
| A logical account of PSPACE M Gaboardi, JY Marion, SR Della Rocca ACM SIGPLAN Notices 43 (1), 121-131, 2008 | 58 | 2008 |
| Bridging the gap between computer science and legal approaches to privacy K Nissim, A Bembenek, A Wood, M Bun, M Gaboardi, U Gasser, ... Harv. JL & Tech. 31, 687, 2017 | 55 | 2017 |
| 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 | 54 | 2014 |
| Local private hypothesis testing: Chi-square tests M Gaboardi, R Rogers International Conference on Machine Learning, 1626-1635, 2018 | 52 | 2018 |
| Empirical risk minimization in non-interactive local differential privacy revisited D Wang, M Gaboardi, J Xu Advances in Neural Information Processing Systems 31, 2018 | 51 | 2018 |
Justin HsuCornell UniversityVerified email at justinh.su
