2009 |
25 | EE | Anupam Gupta,
Katrina Ligett,
Frank McSherry,
Aaron Roth,
Kunal Talwar:
Differentially Private Approximation Algorithms
CoRR abs/0903.4510: (2009) |
2008 |
24 | EE | Frank McSherry,
Marc Najork:
Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores.
ECIR 2008: 414-421 |
23 | EE | Philippe Golle,
Frank McSherry,
Ilya Mironov:
Data Collection with Self-Enforcing Privacy.
ACM Trans. Inf. Syst. Secur. 12(2): (2008) |
22 | EE | David Kempe,
Frank McSherry:
A decentralized algorithm for spectral analysis.
J. Comput. Syst. Sci. 74(1): 70-83 (2008) |
2007 |
21 | EE | Frank McSherry,
Kunal Talwar:
Mechanism Design via Differential Privacy.
FOCS 2007: 94-103 |
20 | EE | Boaz Barak,
Kamalika Chaudhuri,
Cynthia Dwork,
Satyen Kale,
Frank McSherry,
Kunal Talwar:
Privacy, accuracy, and consistency too: a holistic solution to contingency table release.
PODS 2007: 273-282 |
19 | EE | Cynthia Dwork,
Frank McSherry,
Kunal Talwar:
The price of privacy and the limits of LP decoding.
STOC 2007: 85-94 |
18 | EE | Dimitris Achlioptas,
Frank McSherry:
Fast computation of low-rank matrix approximations.
J. ACM 54(2): (2007) |
2006 |
17 | EE | Philippe Golle,
Frank McSherry,
Ilya Mironov:
Data collection with self-enforcing privacy.
ACM Conference on Computer and Communications Security 2006: 69-78 |
16 | EE | Cynthia Dwork,
Krishnaram Kenthapadi,
Frank McSherry,
Ilya Mironov,
Moni Naor:
Our Data, Ourselves: Privacy Via Distributed Noise Generation.
EUROCRYPT 2006: 486-503 |
15 | EE | Cynthia Dwork,
Frank McSherry,
Kobbi Nissim,
Adam Smith:
Calibrating Noise to Sensitivity in Private Data Analysis.
TCC 2006: 265-284 |
2005 |
14 | EE | Dimitris Achlioptas,
Frank McSherry:
On Spectral Learning of Mixtures of Distributions.
COLT 2005: 458-469 |
13 | EE | Lidong Zhou,
Lintao Zhang,
Frank McSherry,
Nicole Immorlica,
Manuel Costa,
Steve Chien:
A First Look at Peer-to-Peer Worms: Threats and Defenses.
IPTPS 2005: 24-35 |
12 | EE | Avrim Blum,
Cynthia Dwork,
Frank McSherry,
Kobbi Nissim:
Practical privacy: the SuLQ framework.
PODS 2005: 128-138 |
11 | EE | Venkatesan Guruswami,
Jason D. Hartline,
Anna R. Karlin,
David Kempe,
Claire Kenyon,
Frank McSherry:
On profit-maximizing envy-free pricing.
SODA 2005: 1164-1173 |
10 | EE | Shuchi Chawla,
Cynthia Dwork,
Frank McSherry,
Adam Smith,
Hoeteck Wee:
Toward Privacy in Public Databases.
TCC 2005: 363-385 |
9 | EE | Shuchi Chawla,
Cynthia Dwork,
Frank McSherry,
Kunal Talwar:
On Privacy-Preserving Histograms.
UAI 2005 |
8 | EE | Frank McSherry:
A uniform approach to accelerated PageRank computation.
WWW 2005: 575-582 |
2004 |
7 | EE | Anirban Dasgupta,
John E. Hopcroft,
Frank McSherry:
Spectral Analysis of Random Graphs with Skewed Degree Distributions.
FOCS 2004: 602-610 |
6 | EE | David Kempe,
Frank McSherry:
A decentralized algorithm for spectral analysis.
STOC 2004: 561-568 |
2001 |
5 | | Dimitris Achlioptas,
Amos Fiat,
Anna R. Karlin,
Frank McSherry:
Web Search via Hub Synthesis.
FOCS 2001: 500-509 |
4 | | Frank McSherry:
Spectral Partitioning of Random Graphs.
FOCS 2001: 529-537 |
3 | EE | Dimitris Achlioptas,
Frank McSherry,
Bernhard Schölkopf:
Sampling Techniques for Kernel Methods.
NIPS 2001: 335-342 |
2 | EE | Dimitris Achlioptas,
Frank McSherry:
Fast computation of low rank matrix.
STOC 2001: 611-618 |
1 | EE | Yossi Azar,
Amos Fiat,
Anna R. Karlin,
Frank McSherry,
Jared Saia:
Spectral analysis of data.
STOC 2001: 619-626 |