Frank McSherry

64 papers A* 20A 4B 3Journal 24Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DBSP: automatic incremental view maintenance for rich query languages. VLDB J. Mihai Budiu, Leonid Ryzhyk, Gerd Zellweger, Ben Pfaff, Lalith Suresh, Simon Kassing, Abhinav Gyawali, Matei Budiu, Tej Chajed, Frank McSherry, Val Tannen
2024	J	`jnl`	DBSP: Incremental Computation on Streams and Its Applications to Databases. SIGMOD Rec. Mihai Budiu, Tej Chajed, Frank McSherry, Leonid Ryzhyk, Val Tannen
2023	J	`jnl`	DBSP: Automatic Incremental View Maintenance for Rich Query Languages. Proc. VLDB Endow. Mihai Budiu, Tej Chajed, Frank McSherry, Leonid Ryzhyk, Val Tannen
2022	J	`jnl`	DBSP: Automatic Incremental View Maintenance for Rich Query Languages. CoRR Mihai Budiu, Frank McSherry, Leonid Ryzhyk, Val Tannen
2022	—	`conf`	Materialize: a platform for building scalable event based systems. DEBS Frank McSherry
2022	J	`jnl`	Timestamp tokens: a better coordination primitive for data-processing systems. CoRR Andrea Lattuada, Frank McSherry
2020	J	`jnl`	Shared Arrangements: practical inter-query sharing for streaming dataflows. Proc. VLDB Endow. Frank McSherry, Andrea Lattuada, Malte Schwarzkopf, Timothy Roscoe
2019	J	`jnl`	Megaphone: Latency-conscious state migration for distributed streaming dataflows. Proc. VLDB Endow. Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe
2018	J	`jnl`	Distributed Evaluation of Subgraph Queries Using Worst-case Optimal and Low-Memory Dataflows. Proc. VLDB Endow. Khaled Ammar, Frank McSherry, Semih Salihoglu, Manas Joglekar
2018	J	`jnl`	Distributed Evaluation of Subgraph Queries Using Worstcase Optimal LowMemory Dataflows. CoRR Khaled Ammar, Frank McSherry, Semih Salihoglu, Manas Joglekar
2018	J	`jnl`	K-Pg: Shared State in Differential Dataflows. CoRR Frank McSherry, Andrea Lattuada, Malte Schwarzkopf
2018	—	`conf`	Latency-conscious dataflow reconfiguration. BeyondMR@SIGMOD Moritz Hoffmann, Frank McSherry, Andrea Lattuada
2018	J	`jnl`	Megaphone: Live state migration for distributed streaming dataflows. CoRR Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe
2016	J	`jnl`	Calibrating Noise to Sensitivity in Private Data Analysis. J. Priv. Confidentiality Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith
2016	J	`jnl`	Explaining Outputs in Modern Data Analytics. Proc. VLDB Endow. Zaheer Chothia, John Liagouris, Frank McSherry, Timothy Roscoe
2016	—	`conf`	Faucet: a user-level, modular technique for flow control in dataflow engines. BeyondMR@SIGMOD Andrea Lattuada, Frank McSherry, Zaheer Chothia
2016	J	`jnl`	Incremental, iterative data processing with timely dataflow. Commun. ACM Derek Gordon Murray, Frank McSherry, Michael Isard, Rebecca Isaacs, Paul Barham, Martín Abadi
2015	B	`conf`	Foundations of Differential Dataflow. FoSSaCS Martín Abadi, Frank McSherry, Gordon D. Plotkin
2015	A	`conf`	Scalability! But at what COST? HotOS Frank McSherry, Michael Isard, Derek Gordon Murray
2014	J	`jnl`	Calibrating Data to Sensitivity in Private Data Analysis. Proc. VLDB Endow. Davide Proserpio, Sharon Goldberg, Frank McSherry
2013	A	`conf`	Differential Dataflow. CIDR Frank McSherry, Derek Gordon Murray, Rebecca Isaacs, Michael Isard
2013	—	`conf`	Formal Analysis of a Distributed Algorithm for Tracking Progress. FMOODS/FORTE Martín Abadi, Frank McSherry, Derek Gordon Murray, Thomas L. Rodeheffer
2013	A*	`conf`	Naiad: a timely dataflow system. SOSP Derek Gordon Murray, Frank McSherry, Rebecca Isaacs, Michael Isard, Paul Barham, Martín Abadi
2012	—	`conf`	A Simple and Practical Algorithm for Differentially Private Data Release. NIPS Moritz Hardt, Katrina Ligett, Frank McSherry
2012	J	`jnl`	A Workflow for Differentially-Private Graph Synthesis CoRR Davide Proserpio, Sharon Goldberg, Frank McSherry
2012	—	`conf`	A workflow for differentially-private graph synthesis. WOSN Davide Proserpio, Sharon Goldberg, Frank McSherry
2012	—	`conf`	Managing Large Graphs on Multi-Cores with Graph Awareness. USENIX ATC Vijayan Prabhakaran, Ming Wu, Xuetian Weng, Frank McSherry, Lidong Zhou, Maya Haradasan
2012	J	`jnl`	On Privacy-Preserving Histograms CoRR Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar
2011	—	`conf`	Differential privacy with information flow control. PLAS Arnar Birgisson, Frank McSherry, Martín Abadi
2010	A*	`conf`	A data-parallel toolkit for information retrieval. SIGIR Dennis Fetterly, Frank McSherry
2010	J	`jnl`	A simple and practical algorithm for differentially private data release CoRR Moritz Hardt, Katrina Ligett, Frank McSherry
2010	A*	`conf`	Differentially Private Combinatorial Optimization. SODA Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar
2010	A*	`conf`	Differentially-private network trace analysis. SIGCOMM Frank McSherry, Ratul Mahajan
2010	J	`jnl`	Privacy integrated queries: an extensible platform for privacy-preserving data analysis. Commun. ACM Frank McSherry
2010	—	`conf`	Probabilistic Inference and Differential Privacy. NIPS Oliver Williams, Frank McSherry
2009	J	`jnl`	Differentially Private Approximation Algorithms CoRR Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar
2009	—	`conf`	Differentially Private Combinatorial Optimization. Parameterized complexity and approximation algorithms Kunal Talwar, Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth
2009	A*	`conf`	Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders. KDD Frank McSherry, Ilya Mironov
2009	—	`conf`	Privacy integrated queries: an extensible platform for privacy-preserving data analysis. SIGMOD Conference Frank McSherry
2009	J	`jnl`	Special Issue On The Thirty-Eighth Annual ACM Symposium On Theory Of Computing (STOC 2006). SIAM J. Comput. Scott Aaronson, Sudipto Guha, Jon M. Kleinberg, Frank McSherry, Dieter van Melkebeek, Amit Sahai
2008	J	`jnl`	A decentralized algorithm for spectral analysis. J. Comput. Syst. Sci. David Kempe, Frank McSherry
2008	A	`conf`	Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores. ECIR Frank McSherry, Marc Najork
2008	J	`jnl`	Data Collection with Self-Enforcing Privacy. ACM Trans. Inf. Syst. Secur. Philippe Golle, Frank McSherry, Ilya Mironov
2007	J	`jnl`	Fast computation of low-rank matrix approximations. J. ACM Dimitris Achlioptas, Frank McSherry
2007	A*	`conf`	Mechanism Design via Differential Privacy. FOCS Frank McSherry, Kunal Talwar
2007	A*	`conf`	Privacy, accuracy, and consistency too: a holistic solution to contingency table release. PODS Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Satyen Kale, Frank McSherry, Kunal Talwar
2007	A*	`conf`	The price of privacy and the limits of LP decoding. STOC Cynthia Dwork, Frank McSherry, Kunal Talwar
2006	B	`conf`	Calibrating Noise to Sensitivity in Private Data Analysis. TCC Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith
2006	A*	`conf`	Data collection with self-enforcing privacy. CCS Philippe Golle, Frank McSherry, Ilya Mironov
2006	A*	`conf`	Our Data, Ourselves: Privacy Via Distributed Noise Generation. EUROCRYPT Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor
2005	—	`conf`	A First Look at Peer-to-Peer Worms: Threats and Defenses. IPTPS Lidong Zhou, Lintao Zhang, Frank McSherry, Nicole Immorlica, Manuel Costa, Steve Chien
2005	A*	`conf`	A uniform approach to accelerated PageRank computation. WWW Frank McSherry
2005	A	`conf`	On Privacy-Preserving Histograms. UAI Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar
2005	A*	`conf`	On Spectral Learning of Mixtures of Distributions. COLT Dimitris Achlioptas, Frank McSherry
2005	A*	`conf`	On profit-maximizing envy-free pricing. SODA Venkatesan Guruswami, Jason D. Hartline, Anna R. Karlin, David Kempe, Claire Kenyon, Frank McSherry
2005	A*	`conf`	Practical privacy: the SuLQ framework. PODS Avrim Blum, Cynthia Dwork, Frank McSherry, Kobbi Nissim
2005	B	`conf`	Toward Privacy in Public Databases. TCC Shuchi Chawla, Cynthia Dwork, Frank McSherry, Adam D. Smith, Hoeteck Wee
2004	A*	`conf`	A decentralized algorithm for spectral analysis. STOC David Kempe, Frank McSherry
2004	A*	`conf`	Spectral Analysis of Random Graphs with Skewed Degree Distributions. FOCS Anirban Dasgupta, John E. Hopcroft, Frank McSherry
2001	A*	`conf`	Fast computation of low rank matrix. STOC Dimitris Achlioptas, Frank McSherry
2001	—	`conf`	Sampling Techniques for Kernel Methods. NIPS Dimitris Achlioptas, Frank McSherry, Bernhard Schölkopf
2001	A*	`conf`	Spectral Partitioning of Random Graphs. FOCS Frank McSherry
2001	A*	`conf`	Spectral analysis of data. STOC Yossi Azar, Amos Fiat, Anna R. Karlin, Frank McSherry, Jared Saia
2001	A*	`conf`	Web Search via Hub Synthesis. FOCS Dimitris Achlioptas, Amos Fiat, Anna R. Karlin, Frank McSherry