Frank McSherry

According to our database, Frank McSherry authored at least 54 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

DBSP: Automatic Incremental View Maintenance for Rich Query Languages.

Mihai Budiu, Tej Chajed, Frank McSherry, Leonid Ryzhyk, Val Tannen

Proc. VLDB Endow., 2023

2022

Timestamp tokens: a better coordination primitive for data-processing systems.

Andrea Lattuada, Frank McSherry

CoRR, 2022

DBSP: Automatic Incremental View Maintenance for Rich Query Languages.

Mihai Budiu, Frank McSherry, Leonid Ryzhyk, Val Tannen

CoRR, 2022

Materialize: a platform for building scalable event based systems.

Frank McSherry

Proceedings of the 16th ACM International Conference on Distributed and Event-based Systems, 2022

2020

Shared Arrangements: practical inter-query sharing for streaming dataflows.

Frank McSherry, Andrea Lattuada, Malte Schwarzkopf, Timothy Roscoe

Proc. VLDB Endow., 2020

2019

Megaphone: Latency-conscious state migration for distributed streaming dataflows.

Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe

Proc. VLDB Endow., 2019

2018

Distributed Evaluation of Subgraph Queries Using Worst-case Optimal and Low-Memory Dataflows.

Khaled Ammar, Frank McSherry, Semih Salihoglu, Manas Joglekar

Proc. VLDB Endow., 2018

K-Pg: Shared State in Differential Dataflows.

Frank McSherry, Andrea Lattuada, Malte Schwarzkopf

CoRR, 2018

Megaphone: Live state migration for distributed streaming dataflows.

Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe

CoRR, 2018

Distributed Evaluation of Subgraph Queries Using Worstcase Optimal LowMemory Dataflows.

Khaled Ammar, Frank McSherry, Semih Salihoglu, Manas Joglekar

CoRR, 2018

Latency-conscious dataflow reconfiguration.

Moritz Hoffmann, Frank McSherry, Andrea Lattuada

Proceedings of the 5th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, 2018

2016

Explaining Outputs in Modern Data Analytics.

Zaheer Chothia, John Liagouris, Frank McSherry, Timothy Roscoe

Proc. VLDB Endow., 2016

Calibrating Noise to Sensitivity in Private Data Analysis.

Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith

J. Priv. Confidentiality, 2016

Incremental, iterative data processing with timely dataflow.

Derek Gordon Murray, Frank McSherry, Michael Isard, Rebecca Isaacs, Paul Barham, Martín Abadi

Commun. ACM, 2016

Faucet: a user-level, modular technique for flow control in dataflow engines.

Andrea Lattuada, Frank McSherry, Zaheer Chothia

Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, 2016

2015

Scalability! But at what COST?

Frank McSherry, Michael Isard, Derek Gordon Murray

Proceedings of the 15th Workshop on Hot Topics in Operating Systems, 2015

Foundations of Differential Dataflow.

Martín Abadi, Frank McSherry, Gordon D. Plotkin

Proceedings of the Foundations of Software Science and Computation Structures, 2015

2014

Calibrating Data to Sensitivity in Private Data Analysis.

Davide Proserpio, Sharon Goldberg, Frank McSherry

Proc. VLDB Endow., 2014

2013

Naiad: a timely dataflow system.

Derek Gordon Murray, Frank McSherry, Rebecca Isaacs, Michael Isard, Paul Barham, Martín Abadi

Proceedings of the ACM SIGOPS 24th Symposium on Operating Systems Principles, 2013

Formal Analysis of a Distributed Algorithm for Tracking Progress.

Martín Abadi, Frank McSherry, Derek Gordon Murray, Thomas L. Rodeheffer

Proceedings of the Formal Techniques for Distributed Systems, 2013

Differential Dataflow.

Frank McSherry, Derek Gordon Murray, Rebecca Isaacs, Michael Isard

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012

A workflow for differentially-private graph synthesis.

Davide Proserpio, Sharon Goldberg, Frank McSherry

Proceedings of the 2012 ACM workshop on Workshop on Online Social Networks, 2012

Managing Large Graphs on Multi-Cores with Graph Awareness.

Vijayan Prabhakaran, Ming Wu, Xuetian Weng, Frank McSherry, Lidong Zhou, Maya Haradasan

Proceedings of the 2012 USENIX Annual Technical Conference, 2012

A Simple and Practical Algorithm for Differentially Private Data Release.

Moritz Hardt, Katrina Ligett, Frank McSherry

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Differential privacy with information flow control.

Arnar Birgisson, Frank McSherry, Martín Abadi

Proceedings of the 2011 Workshop on Programming Languages and Analysis for Security, 2011

2010

Privacy integrated queries: an extensible platform for privacy-preserving data analysis.

Frank McSherry

Commun. ACM, 2010

A data-parallel toolkit for information retrieval.

Dennis Fetterly, Frank McSherry

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Differentially-private network trace analysis.

Frank McSherry, Ratul Mahajan

Proceedings of the ACM SIGCOMM 2010 Conference on Applications, 2010

Probabilistic Inference and Differential Privacy.

Oliver Williams, Frank McSherry

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Special Issue On The Thirty-Eighth Annual ACM Symposium On Theory Of Computing (STOC 2006).

Scott Aaronson, Sudipto Guha, Jon M. Kleinberg, Frank McSherry, Dieter van Melkebeek, Amit Sahai

SIAM J. Comput., 2009

Differentially Private Approximation Algorithms

Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar

CoRR, 2009

Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders.

Frank McSherry, Ilya Mironov

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Differentially Private Combinatorial Optimization.

Kunal Talwar, Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth

Proceedings of the Parameterized complexity and approximation algorithms, 13.12., 2009

2008

Data Collection with Self-Enforcing Privacy.

Philippe Golle, Frank McSherry, Ilya Mironov

ACM Trans. Inf. Syst. Secur., 2008

A decentralized algorithm for spectral analysis.

David Kempe, Frank McSherry

J. Comput. Syst. Sci., 2008

Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores.

Frank McSherry, Marc Najork

Proceedings of the Advances in Information Retrieval , 2008

2007

Fast computation of low-rank matrix approximations.

Dimitris Achlioptas, Frank McSherry

J. ACM, 2007

The price of privacy and the limits of LP decoding.

Cynthia Dwork, Frank McSherry, Kunal Talwar

Proceedings of the 39th Annual ACM Symposium on Theory of Computing, 2007

Privacy, accuracy, and consistency too: a holistic solution to contingency table release.

Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Satyen Kale, Frank McSherry, Kunal Talwar

Proceedings of the Twenty-Sixth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2007

Mechanism Design via Differential Privacy.

Frank McSherry, Kunal Talwar

Proceedings of the 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2007), 2007

2006

Our Data, Ourselves: Privacy Via Distributed Noise Generation.

Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor

Proceedings of the Advances in Cryptology - EUROCRYPT 2006, 25th Annual International Conference on the Theory and Applications of Cryptographic Techniques, St. Petersburg, Russia, May 28, 2006

2005

A uniform approach to accelerated PageRank computation.

Frank McSherry

Proceedings of the 14th international conference on World Wide Web, 2005

On Privacy-Preserving Histograms.

Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar

Proceedings of the UAI '05, 2005

Toward Privacy in Public Databases.

Shuchi Chawla, Cynthia Dwork, Frank McSherry, Adam D. Smith, Hoeteck Wee

Proceedings of the Theory of Cryptography, Second Theory of Cryptography Conference, 2005

On profit-maximizing envy-free pricing.

Venkatesan Guruswami, Jason D. Hartline, Anna R. Karlin, David Kempe, Claire Kenyon, Frank McSherry

Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2005

Practical privacy: the SuLQ framework.

Avrim Blum, Cynthia Dwork, Frank McSherry, Kobbi Nissim

Proceedings of the Twenty-fourth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2005

A First Look at Peer-to-Peer Worms: Threats and Defenses.

Lidong Zhou, Lintao Zhang, Frank McSherry, Nicole Immorlica, Manuel Costa, Steve Chien

Proceedings of the Peer-to-Peer Systems IV, 4th International Workshop, 2005

On Spectral Learning of Mixtures of Distributions.

Dimitris Achlioptas, Frank McSherry

Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

2004

Spectral Analysis of Random Graphs with Skewed Degree Distributions.

Anirban Dasgupta, John E. Hopcroft, Frank McSherry

Proceedings of the 45th Symposium on Foundations of Computer Science (FOCS 2004), 2004

2001

Spectral analysis of data.

Yossi Azar, Amos Fiat, Anna R. Karlin, Frank McSherry, Jared Saia

Proceedings of the Proceedings on 33rd Annual ACM Symposium on Theory of Computing, 2001

Fast computation of low rank matrix.

Dimitris Achlioptas, Frank McSherry

Proceedings of the Proceedings on 33rd Annual ACM Symposium on Theory of Computing, 2001

Sampling Techniques for Kernel Methods.

Dimitris Achlioptas, Frank McSherry, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Spectral Partitioning of Random Graphs.

Frank McSherry

Proceedings of the 42nd Annual Symposium on Foundations of Computer Science, 2001

Web Search via Hub Synthesis.

Dimitris Achlioptas, Amos Fiat, Anna R. Karlin, Frank McSherry

Proceedings of the 42nd Annual Symposium on Foundations of Computer Science, 2001