Adam Smith
Adam Smith
Professor of Computer Science, Boston University
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Calibrating noise to sensitivity in private data analysis
C Dwork, F McSherry, K Nissim, A Smith
Theory of cryptography conference, 265-284, 2006
Fuzzy extractors: How to generate strong keys from biometrics and other noisy data
Y Dodis, L Reyzin, A Smith
International conference on the theory and applications of cryptographic …, 2004
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
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
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
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
Local, private, efficient protocols for succinct histograms
R Bassily, A Smith
Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015
Toward privacy in public databases
S Chawla, C Dwork, F McSherry, A Smith, H Wee
Theory of Cryptography Conference, 363-385, 2005
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
Private convex empirical risk minimization and high-dimensional regression
D Kifer, A Smith, A Thakurta
Conference on Learning Theory, 25.1-25.40, 2012
Secure remote authentication using biometric data
X Boyen, Y Dodis, J Katz, R Ostrovsky, A Smith
annual international conference on the theory and applications of …, 2005
Analyzing graphs with node differential privacy
SP Kasiviswanathan, K Nissim, S Raskhodnikova, A Smith
Theory of Cryptography Conference, 457-476, 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
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
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
Leftover hashing against quantum side information
M Tomamichel, C Schaffner, A Smith, R Renner
IEEE Transactions on Information Theory 57 (8), 5524-5535, 2011
Private analysis of graph structure
V Karwa, S Raskhodnikova, A Smith, G Yaroslavtsev
Proceedings of the VLDB Endowment 4 (11), 1146-1157, 2011
Privacy-preserving statistical estimation with optimal convergence rates
A Smith
Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011
Algorithmic stability for adaptive data analysis
R Bassily, K Nissim, A Smith, T Steinke, U Stemmer, J Ullman
SIAM Journal on Computing 50 (3), STOC16-377-STOC16-405, 2021
On the Semantics' of Differential Privacy: A Bayesian Formulation
SP Kasiviswanathan, A Smith
arXiv preprint arXiv:0803.3946, 2008
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