| Calibrating noise to sensitivity in private data analysis C Dwork, F McSherry, K Nissim, A Smith Theory of Cryptography: Third Theory of Cryptography Conference, TCC 2006 …, 2006 | 7183 | 2006 |
| Fuzzy extractors: How to generate strong keys from biometrics and other noisy data Y Dodis, L Reyzin, A Smith Advances in Cryptology-EUROCRYPT 2004: International Conference on the …, 2004 | 3901* | 2004 |
| What can we learn privately? SP Kasiviswanathan, HK Lee, K Nissim, S Raskhodnikova, A Smith Foundations of Computer Science, 2008. FOCS'08. IEEE 49th Annual IEEE …, 2008 | 1176 | 2008 |
| Smooth sensitivity and sampling in private data analysis K Nissim, S Raskhodnikova, A Smith Proceedings of the thirty-ninth annual ACM symposium on Theory of computing …, 2007 | 1143 | 2007 |
| Private empirical risk minimization: Efficient algorithms and tight error bounds R Bassily, A Smith, A Thakurta 2014 IEEE 55th annual symposium on foundations of computer science, 464-473, 2014 | 770 | 2014 |
| Composition attacks and auxiliary information in data privacy SR Ganta, SP Kasiviswanathan, A Smith Proceeding of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 467 | 2008 |
| Local, private, efficient protocols for succinct histograms R Bassily, A Smith Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015 | 415 | 2015 |
| Toward privacy in public databases S Chawla, C Dwork, F McSherry, A Smith, H Wee Theory of Cryptography: Second Theory of Cryptography Conference, TCC 2005 …, 2005 | 372 | 2005 |
| Private convex empirical risk minimization and high-dimensional regression D Kifer, A Smith, A Thakurta Conference on Learning Theory, 25.1-25.40, 2012 | 361 | 2012 |
| Authentication of quantum messages H Barnum, C Crépeau, D Gottesman, A Smith, A Tapp The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002 …, 2002 | 342 | 2002 |
| Secure Remote Authentication Using Biometric Data. X Boyen, Y Dodis, J Katz, R Ostrovsky, AD Smith Eurocrypt 3494, 147-163, 2005 | 322 | 2005 |
| Analyzing Graphs with Node Differential Privacy. SP Kasiviswanathan, K Nissim, S Raskhodnikova, AD Smith TCC 13, 457-476, 2013 | 316 | 2013 |
| Differential privacy for statistics: What we know and what we want to learn C Dwork, A Smith Journal of Privacy and Confidentiality 1 (2), 2010 | 308 | 2010 |
| Robust fuzzy extractors and authenticated key agreement from close secrets Y Dodis, J Katz, L Reyzin, A Smith Advances in Cryptology-CRYPTO 2006, 232-250, 2006 | 298* | 2006 |
| Leftover hashing against quantum side information M Tomamichel, C Schaffner, A Smith, R Renner IEEE Transactions on Information Theory 57 (8), 5524-5535, 2011 | 290 | 2011 |
| Discovering frequent patterns in sensitive data R Bhaskar, S Laxman, A Smith, A Thakurta Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 290 | 2010 |
| Privacy-preserving statistical estimation with optimal convergence rates A Smith Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011 | 270 | 2011 |
| Private analysis of graph structure V Karwa, S Raskhodnikova, A Smith, G Yaroslavtsev Proceedings of the VLDB Endowment 4 (11), 1146-1157, 2011 | 269 | 2011 |
| Algorithmic stability for adaptive data analysis R Bassily, K Nissim, A Smith, T Steinke, U Stemmer, J Ullman Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016 | 259 | 2016 |
| Distributed differential privacy via shuffling A Cheu, A Smith, J Ullman, D Zeber, M Zhilyaev Advances in Cryptology–EUROCRYPT 2019: 38th Annual International Conference …, 2019 | 251 | 2019 |
Leonid ReyzinProfessor of Computer Science, Boston UniversityVerified email at cs.bu.edu
