Frank McSherry

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 16

Top Topics

Incremental View Maintenance

Top Venues

Proc. VLDB Endow.

BeyondMR@SIGMOD

Publications

Mihai Budiu, Tej Chajed, Frank McSherry, Leonid Ryzhyk, Val Tannen
DBSP: Incremental Computation on Streams and Its Applications to Databases. SIGMOD Rec. 53 (1) (2024)
Mihai Budiu, Tej Chajed, Frank McSherry, Leonid Ryzhyk, Val Tannen
DBSP: Automatic Incremental View Maintenance for Rich Query Languages. Proc. VLDB Endow. 16 (7) (2023)
Frank McSherry
Materialize: a platform for building scalable event based systems. DEBS (2022)
Mihai Budiu, Frank McSherry, Leonid Ryzhyk, Val Tannen
DBSP: Automatic Incremental View Maintenance for Rich Query Languages. CoRR (2022)
Andrea Lattuada, Frank McSherry
Timestamp tokens: a better coordination primitive for data-processing systems. CoRR (2022)
Frank McSherry, Andrea Lattuada, Malte Schwarzkopf, Timothy Roscoe
Shared Arrangements: practical inter-query sharing for streaming dataflows. Proc. VLDB Endow. 13 (10) (2020)
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) (2019)
Khaled Ammar, Frank McSherry, Semih Salihoglu, Manas Joglekar
Distributed Evaluation of Subgraph Queries Using Worstcase Optimal LowMemory Dataflows. CoRR (2018)
Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe
Megaphone: Live state migration for distributed streaming dataflows. CoRR (2018)
Frank McSherry, Andrea Lattuada, Malte Schwarzkopf
K-Pg: Shared State in Differential Dataflows. CoRR (2018)
Moritz Hoffmann, Frank McSherry, Andrea Lattuada
Latency-conscious dataflow reconfiguration. BeyondMR@SIGMOD (2018)
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) (2018)
Zaheer Chothia, John Liagouris, Frank McSherry, Timothy Roscoe
Explaining Outputs in Modern Data Analytics. Proc. VLDB Endow. 9 (12) (2016)
Andrea Lattuada, Frank McSherry, Zaheer Chothia
Faucet: a user-level, modular technique for flow control in dataflow engines. BeyondMR@SIGMOD (2016)
Derek Gordon Murray, Frank McSherry, Michael Isard, Rebecca Isaacs, Paul Barham, Martín Abadi
Incremental, iterative data processing with timely dataflow. Commun. ACM 59 (10) (2016)
Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith
Calibrating Noise to Sensitivity in Private Data Analysis. J. Priv. Confidentiality 7 (3) (2016)
Frank McSherry, Michael Isard, Derek Gordon Murray
Scalability! But at what COST? HotOS (2015)
Martín Abadi, Frank McSherry, Gordon D. Plotkin
Foundations of Differential Dataflow. FoSSaCS (2015)
Davide Proserpio, Sharon Goldberg, Frank McSherry
Calibrating Data to Sensitivity in Private Data Analysis. Proc. VLDB Endow. 7 (8) (2014)
Martín Abadi, Frank McSherry, Derek Gordon Murray, Thomas L. Rodeheffer
Formal Analysis of a Distributed Algorithm for Tracking Progress. FMOODS/FORTE (2013)
Derek Gordon Murray, Frank McSherry, Rebecca Isaacs, Michael Isard, Paul Barham, Martín Abadi
Naiad: a timely dataflow system. SOSP (2013)
Frank McSherry, Derek Gordon Murray, Rebecca Isaacs, Michael Isard
Differential Dataflow. CIDR (2013)
Davide Proserpio, Sharon Goldberg, Frank McSherry
A workflow for differentially-private graph synthesis. WOSN (2012)
Moritz Hardt, Katrina Ligett, Frank McSherry
A Simple and Practical Algorithm for Differentially Private Data Release. NIPS (2012)
Davide Proserpio, Sharon Goldberg, Frank McSherry
A Workflow for Differentially-Private Graph Synthesis CoRR (2012)
Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar
On Privacy-Preserving Histograms CoRR (2012)
Vijayan Prabhakaran, Ming Wu, Xuetian Weng, Frank McSherry, Lidong Zhou, Maya Haradasan
Managing Large Graphs on Multi-Cores with Graph Awareness. USENIX Annual Technical Conference (2012)
Arnar Birgisson, Frank McSherry, Martín Abadi
Differential privacy with information flow control. PLAS (2011)
Moritz Hardt, Katrina Ligett, Frank McSherry
A simple and practical algorithm for differentially private data release CoRR (2010)
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar
Differentially Private Combinatorial Optimization. SODA (2010)
Dennis Fetterly, Frank McSherry
A data-parallel toolkit for information retrieval. SIGIR (2010)
Oliver Williams, Frank McSherry
Probabilistic Inference and Differential Privacy. NIPS (2010)
Frank McSherry
Privacy integrated queries: an extensible platform for privacy-preserving data analysis. Commun. ACM 53 (9) (2010)
Frank McSherry, Ratul Mahajan
Differentially-private network trace analysis. SIGCOMM (2010)
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar
Differentially Private Approximation Algorithms CoRR (2009)
Frank McSherry
Privacy integrated queries: an extensible platform for privacy-preserving data analysis. SIGMOD Conference (2009)
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) (2009)
Frank McSherry, Ilya Mironov
Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders. KDD (2009)
Kunal Talwar, Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth
Differentially Private Combinatorial Optimization. Parameterized complexity and approximation algorithms (2009)
Frank McSherry, Marc Najork
Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores. ECIR (2008)
David Kempe, Frank McSherry
A decentralized algorithm for spectral analysis. J. Comput. Syst. Sci. 74 (1) (2008)
Philippe Golle, Frank McSherry, Ilya Mironov
Data Collection with Self-Enforcing Privacy. ACM Trans. Inf. Syst. Secur. 12 (2) (2008)
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)
Cynthia Dwork, Frank McSherry, Kunal Talwar
The price of privacy and the limits of LP decoding. STOC (2007)
Frank McSherry, Kunal Talwar
Mechanism Design via Differential Privacy. FOCS (2007)
Dimitris Achlioptas, Frank McSherry
Fast computation of low-rank matrix approximations. J. ACM 54 (2) (2007)
Philippe Golle, Frank McSherry, Ilya Mironov
Data collection with self-enforcing privacy. CCS (2006)
Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor
Our Data, Ourselves: Privacy Via Distributed Noise Generation. EUROCRYPT (2006)
Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith
Calibrating Noise to Sensitivity in Private Data Analysis. TCC (2006)
Frank McSherry
A uniform approach to accelerated PageRank computation. WWW (2005)
Shuchi Chawla, Cynthia Dwork, Frank McSherry, Adam D. Smith, Hoeteck Wee
Toward Privacy in Public Databases. TCC (2005)
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)
Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar
On Privacy-Preserving Histograms. UAI (2005)
Venkatesan Guruswami, Jason D. Hartline, Anna R. Karlin, David Kempe, Claire Kenyon, Frank McSherry
On profit-maximizing envy-free pricing. SODA (2005)
Avrim Blum, Cynthia Dwork, Frank McSherry, Kobbi Nissim
Practical privacy: the SuLQ framework. PODS (2005)
Dimitris Achlioptas, Frank McSherry
On Spectral Learning of Mixtures of Distributions. COLT (2005)
Anirban Dasgupta, John E. Hopcroft, Frank McSherry
Spectral Analysis of Random Graphs with Skewed Degree Distributions. FOCS (2004)
David Kempe, Frank McSherry
A decentralized algorithm for spectral analysis. STOC (2004)
Dimitris Achlioptas, Amos Fiat, Anna R. Karlin, Frank McSherry
Web Search via Hub Synthesis. FOCS (2001)
Yossi Azar, Amos Fiat, Anna R. Karlin, Frank McSherry, Jared Saia
Spectral analysis of data. STOC (2001)
Dimitris Achlioptas, Frank McSherry
Fast computation of low rank matrix. STOC (2001)
Frank McSherry
Spectral Partitioning of Random Graphs. FOCS (2001)
Dimitris Achlioptas, Frank McSherry, Bernhard Schölkopf
Sampling Techniques for Kernel Methods. NIPS (2001)