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ORCIDFrank McSherry
Person information
- affiliation: Materialize Inc., USA
- affiliation: Microsoft Research, Silicon Valley Lab
- award (2017): Gödel Prize
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2020 – today
- 2024
[j14]Mihai Budiu, Tej Chajed, Frank McSherry, Leonid Ryzhyk, Val Tannen:
DBSP: Incremental Computation on Streams and Its Applications to Databases. SIGMOD Rec. 53(1): 87-95 (2024)- 2023
- [j13]Mihai Budiu, Tej Chajed, Frank McSherry, Leonid Ryzhyk, Val Tannen:
DBSP: Automatic Incremental View Maintenance for Rich Query Languages. Proc. VLDB Endow. 16(7): 1601-1614 (2023) - 2022
- [c39]Frank McSherry:
Materialize: a platform for building scalable event based systems. DEBS 2022: 3 - [i10]Mihai Budiu, Frank McSherry, Leonid Ryzhyk, Val Tannen:
DBSP: Automatic Incremental View Maintenance for Rich Query Languages. CoRR abs/2203.16684 (2022) - [i9]Andrea Lattuada, Frank McSherry:
Timestamp tokens: a better coordination primitive for data-processing systems. CoRR abs/2210.06113 (2022) - 2020
- [j12]Frank McSherry, Andrea Lattuada
, Malte Schwarzkopf, Timothy Roscoe:
Shared Arrangements: practical inter-query sharing for streaming dataflows. Proc. VLDB Endow. 13(10): 1793-1806 (2020)
2010 – 2019
- 2019
- [j11]Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe:
Megaphone: Latency-conscious state migration for distributed streaming dataflows. Proc. VLDB Endow. 12(9): 1002-1015 (2019) - 2018
- [j10]Khaled Ammar, Frank McSherry, Semih Salihoglu, Manas Joglekar:
Distributed Evaluation of Subgraph Queries Using Worst-case Optimal and Low-Memory Dataflows. Proc. VLDB Endow. 11(6): 691-704 (2018) - [c38]Moritz Hoffmann, Frank McSherry, Andrea Lattuada:
Latency-conscious dataflow reconfiguration. BeyondMR@SIGMOD 2018: 1:1-1:4 - [i8]Khaled Ammar, Frank McSherry, Semih Salihoglu, Manas Joglekar:
Distributed Evaluation of Subgraph Queries Using Worstcase Optimal LowMemory Dataflows. CoRR abs/1802.03760 (2018) - [i7]Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe:
Megaphone: Live state migration for distributed streaming dataflows. CoRR abs/1812.01371 (2018) - [i6]Frank McSherry, Andrea Lattuada, Malte Schwarzkopf:
K-Pg: Shared State in Differential Dataflows. CoRR abs/1812.02639 (2018) - 2016
- [j9]Derek Gordon Murray, Frank McSherry, Michael Isard, Rebecca Isaacs, Paul Barham, Martín Abadi:
Incremental, iterative data processing with timely dataflow. Commun. ACM 59(10): 75-83 (2016) - [j8]Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith:
Calibrating Noise to Sensitivity in Private Data Analysis. J. Priv. Confidentiality 7(3): 17-51 (2016) - [j7]Zaheer Chothia, John Liagouris, Frank McSherry, Timothy Roscoe:
Explaining Outputs in Modern Data Analytics. Proc. VLDB Endow. 9(12): 1137-1148 (2016) - [c37]Andrea Lattuada, Frank McSherry, Zaheer Chothia:
Faucet: a user-level, modular technique for flow control in dataflow engines. BeyondMR@SIGMOD 2016: 2 - 2015
- [c36]Martín Abadi, Frank McSherry, Gordon D. Plotkin:
Foundations of Differential Dataflow. FoSSaCS 2015: 71-83 - [c35]Frank McSherry, Michael Isard, Derek Gordon Murray:
Scalability! But at what COST? HotOS 2015 - 2014
- [j6]Davide Proserpio, Sharon Goldberg, Frank McSherry:
Calibrating Data to Sensitivity in Private Data Analysis. Proc. VLDB Endow. 7(8): 637-648 (2014) - 2013
- [c34]Frank McSherry, Derek Gordon Murray, Rebecca Isaacs, Michael Isard:
Differential Dataflow. CIDR 2013 - [c33]Martín Abadi, Frank McSherry, Derek Gordon Murray, Thomas L. Rodeheffer:
Formal Analysis of a Distributed Algorithm for Tracking Progress. FMOODS/FORTE 2013: 5-19 - [c32]Derek Gordon Murray, Frank McSherry, Rebecca Isaacs, Michael Isard, Paul Barham, Martín Abadi:
Naiad: a timely dataflow system. SOSP 2013: 439-455 - 2012
- [c31]Moritz Hardt, Katrina Ligett, Frank McSherry:
A Simple and Practical Algorithm for Differentially Private Data Release. NIPS 2012: 2348-2356 - [c30]Vijayan Prabhakaran, Ming Wu, Xuetian Weng, Frank McSherry, Lidong Zhou, Maya Haradasan:
Managing Large Graphs on Multi-Cores with Graph Awareness. USENIX ATC 2012: 41-52 - [c29]Davide Proserpio, Sharon Goldberg, Frank McSherry:
A workflow for differentially-private graph synthesis. WOSN 2012: 13-18 - [i5]Davide Proserpio, Sharon Goldberg, Frank McSherry:
A Workflow for Differentially-Private Graph Synthesis. CoRR abs/1203.3453 (2012) - [i4]Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar:
On Privacy-Preserving Histograms. CoRR abs/1207.1371 (2012) - 2011
- [c28]Arnar Birgisson, Frank McSherry, Martín Abadi:
Differential privacy with information flow control. PLAS 2011: 2 - 2010
- [j5]Frank McSherry:
Privacy integrated queries: an extensible platform for privacy-preserving data analysis. Commun. ACM 53(9): 89-97 (2010) - [c27]Oliver Williams, Frank McSherry:
Probabilistic Inference and Differential Privacy. NIPS 2010: 2451-2459 - [c26]Frank McSherry, Ratul Mahajan:
Differentially-private network trace analysis. SIGCOMM 2010: 123-134 - [c25]Dennis Fetterly, Frank McSherry:
A data-parallel toolkit for information retrieval. SIGIR 2010: 701 - [c24]Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar:
Differentially Private Combinatorial Optimization. SODA 2010: 1106-1125 - [i3]Moritz Hardt, Katrina Ligett, Frank McSherry:
A simple and practical algorithm for differentially private data release. CoRR abs/1012.4763 (2010)
2000 – 2009
- 2009
- [j4]Scott Aaronson, Sudipto Guha, Jon M. Kleinberg, Frank McSherry, Dieter van Melkebeek, Amit Sahai:
Special Issue On The Thirty-Eighth Annual ACM Symposium On Theory Of Computing (STOC 2006). SIAM J. Comput. 39(1): vii (2009) - [c23]Frank McSherry, Ilya Mironov:
Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders. KDD 2009: 627-636 - [c22]Frank McSherry:
Privacy integrated queries: an extensible platform for privacy-preserving data analysis. SIGMOD Conference 2009: 19-30 - [i2]Kunal Talwar, Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth:
Differentially Private Combinatorial Optimization. Parameterized complexity and approximation algorithms 2009 - [i1]Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar:
Differentially Private Approximation Algorithms. CoRR abs/0903.4510 (2009) - 2008
- [j3]David Kempe, Frank McSherry:
A decentralized algorithm for spectral analysis. J. Comput. Syst. Sci. 74(1): 70-83 (2008) - [j2]Philippe Golle, Frank McSherry, Ilya Mironov:
Data Collection with Self-Enforcing Privacy. ACM Trans. Inf. Syst. Secur. 12(2): 9:1-9:24 (2008) - [c21]Frank McSherry, Marc Najork:
Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores. ECIR 2008: 414-421 - 2007
- [j1]Dimitris Achlioptas, Frank McSherry:
Fast computation of low-rank matrix approximations. J. ACM 54(2): 9 (2007) - [c20]Frank McSherry, Kunal Talwar:
Mechanism Design via Differential Privacy. FOCS 2007: 94-103 - [c19]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 - [c18]Cynthia Dwork, Frank McSherry, Kunal Talwar:
The price of privacy and the limits of LP decoding. STOC 2007: 85-94 - 2006
- [c17]Philippe Golle, Frank McSherry, Ilya Mironov:
Data collection with self-enforcing privacy. CCS 2006: 69-78 - [c16]Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor:
Our Data, Ourselves: Privacy Via Distributed Noise Generation. EUROCRYPT 2006: 486-503 - [c15]Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith:
Calibrating Noise to Sensitivity in Private Data Analysis. TCC 2006: 265-284 - 2005
- [c14]Dimitris Achlioptas, Frank McSherry:
On Spectral Learning of Mixtures of Distributions. COLT 2005: 458-469 - [c13]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 - [c12]Avrim Blum, Cynthia Dwork, Frank McSherry, Kobbi Nissim:
Practical privacy: the SuLQ framework. PODS 2005: 128-138 - [c11]Venkatesan Guruswami, Jason D. Hartline, Anna R. Karlin, David Kempe, Claire Kenyon, Frank McSherry:
On profit-maximizing envy-free pricing. SODA 2005: 1164-1173 - [c10]Shuchi Chawla, Cynthia Dwork, Frank McSherry, Adam D. Smith, Hoeteck Wee:
Toward Privacy in Public Databases. TCC 2005: 363-385 - [c9]Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar:
On Privacy-Preserving Histograms. UAI 2005 - [c8]Frank McSherry:
A uniform approach to accelerated PageRank computation. WWW 2005: 575-582 - 2004
- [c7]Anirban Dasgupta, John E. Hopcroft, Frank McSherry:
Spectral Analysis of Random Graphs with Skewed Degree Distributions. FOCS 2004: 602-610 - [c6]David Kempe, Frank McSherry:
A decentralized algorithm for spectral analysis. STOC 2004: 561-568 - 2001
- [c5]Dimitris Achlioptas, Amos Fiat, Anna R. Karlin, Frank McSherry:
Web Search via Hub Synthesis. FOCS 2001: 500-509 - [c4]Frank McSherry:
Spectral Partitioning of Random Graphs. FOCS 2001: 529-537 - [c3]Dimitris Achlioptas, Frank McSherry, Bernhard Schölkopf:
Sampling Techniques for Kernel Methods. NIPS 2001: 335-342 - [c2]Dimitris Achlioptas, Frank McSherry:
Fast computation of low rank matrix. STOC 2001: 611-618 - [c1]Yossi Azar, Amos Fiat, Anna R. Karlin, Frank McSherry, Jared Saia:
Spectral analysis of data. STOC 2001: 619-626
Coauthor Index
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last updated on 2024-08-21 21:29 CEST by the dblp team
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