Adam Smith
Adam Smith
Professor of Computer Science, Boston University
Verified email at bu.edu - Homepage
TitleCited byYear
Calibrating noise to sensitivity in private data analysis
C Dwork, F McSherry, K Nissim, A Smith
Theory of cryptography conference, 265-284, 2006
33272006
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
2859*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
6852007
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
4582008
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
3282008
Toward privacy in public databases
S Chawla, C Dwork, F McSherry, A Smith, H Wee
Theory of Cryptography Conference, 363-385, 2005
2932005
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
2652005
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
2612002
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
244*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
2172010
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
214*2014
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
2022010
Correcting errors without leaking partial information
Y Dodis, A Smith
Proceedings of the thirty-seventh annual ACM symposium on Theory of …, 2005
1922005
Private convex empirical risk minimization and high-dimensional regression
D Kifer, A Smith, A Thakurta
Conference on Learning Theory, 25.1-25.40, 2012
1732012
Leftover hashing against quantum side information
M Tomamichel, C Schaffner, A Smith, R Renner
IEEE Transactions on Information Theory 57 (8), 5524-5535, 2011
1692011
On the Semantics' of Differential Privacy: A Bayesian Formulation
SP Kasiviswanathan, A Smith
arXiv preprint arXiv:0803.3946, 2008
160*2008
Privacy-preserving statistical estimation with optimal convergence rates
A Smith
Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011
1592011
The Glasgow Edition of the Works and Correspondence of Adam Smith: VI: Correspondence
A Smith, A Smith
Oxford University Press, 1987
1571987
Local, private, efficient protocols for succinct histograms
R Bassily, A Smith
Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015
1532015
Analyzing graphs with node differential privacy
SP Kasiviswanathan, K Nissim, S Raskhodnikova, A Smith
Theory of Cryptography Conference, 457-476, 2013
1522013
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