Web Search via Hub Synthesis. - Dimitris Achlioptas; Amos Fiat; Anna R. Karlin; Frank McSherry (FOCS, 2001)

Spectral Partitioning of Random Graphs. - Frank McSherry (FOCS, 2001)

Sampling Techniques for Kernel Methods. - Dimitris Achlioptas; Frank McSherry; Bernhard Schölkopf (NIPS, 2001)

Fast computation of low rank matrix. - Dimitris Achlioptas; Frank McSherry (STOC, 2001)

Spectral analysis of data. - Yossi Azar; Amos Fiat; Anna R. Karlin; Frank McSherry; Jared Saia (STOC, 2001)

Spectral Analysis of Random Graphs with Skewed Degree Distributions. - Anirban Dasgupta 001; John E. Hopcroft; Frank McSherry (FOCS, 2004)

On Spectral Learning of Mixtures of Distributions. - Dimitris Achlioptas; Frank McSherry (COLT, 2005)

A First Look at Peer-to-Peer Worms: Threats and Defenses. - Lidong Zhou; Lintao Zhang; Frank McSherry; Nicole Immorlica; Manuel Costa; Steve Chien (IPTPS, 2005)

Practical privacy: the SuLQ framework. - Avrim Blum; Cynthia Dwork; Frank McSherry; Kobbi Nissim (PODS, 2005)

On profit-maximizing envy-free pricing. - Venkatesan Guruswami; Jason D. Hartline; Anna R. Karlin; David Kempe 001; Claire Kenyon; Frank McSherry (SODA, 2005)

Toward Privacy in Public Databases. - Shuchi Chawla 001; Cynthia Dwork; Frank McSherry; Adam D. Smith 001; Hoeteck Wee (TCC, 2005)

On Privacy-Preserving Histograms. - Shuchi Chawla 001; Cynthia Dwork; Frank McSherry; Kunal Talwar (UAI, 2005)

A uniform approach to accelerated PageRank computation. - Frank McSherry (WWW, 2005)

Our Data, Ourselves: Privacy Via Distributed Noise Generation. - Cynthia Dwork; Krishnaram Kenthapadi; Frank McSherry; Ilya Mironov; Moni Naor (EUROCRYPT, 2006)

Mechanism Design via Differential Privacy. - Frank McSherry; Kunal Talwar (FOCS, 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 (PODS, 2007)

The price of privacy and the limits of LP decoding. - Cynthia Dwork; Frank McSherry; Kunal Talwar (STOC, 2007)

Fast computation of low-rank matrix approximations. - Dimitris Achlioptas; Frank McSherry (J. ACM, 2007)

Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores. - Frank McSherry; Marc Najork (ECIR, 2008)

A decentralized algorithm for spectral analysis. - David Kempe 001; Frank McSherry (J. Comput. Syst. Sci., 2008)

Data Collection with Self-Enforcing Privacy. - Philippe Golle; Frank McSherry; Ilya Mironov (ACM Trans. Inf. Syst. Secur., 2008)

Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders. - Frank McSherry; Ilya Mironov (KDD, 2009)

Differentially Private Approximation Algorithms - Anupam Gupta 001; Katrina Ligett; Frank McSherry; Aaron Roth 001; Kunal Talwar (CoRR, 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)

Probabilistic Inference and Differential Privacy. - Oliver Williams; Frank McSherry (NIPS, 2010)

Differentially-private network trace analysis. - Frank McSherry; Ratul Mahajan (SIGCOMM, 2010)

A data-parallel toolkit for information retrieval. - Dennis Fetterly; Frank McSherry (SIGIR, 2010)

Differentially Private Combinatorial Optimization. - Anupam Gupta 001; Katrina Ligett; Frank McSherry; Aaron Roth 001; Kunal Talwar (SODA, 2010)

Privacy integrated queries: an extensible platform for privacy-preserving data analysis. - Frank McSherry (Commun. ACM, 2010)

Differential privacy with information flow control. - Arnar Birgisson; Frank McSherry; Martín Abadi (PLAS, 2011)

A Simple and Practical Algorithm for Differentially Private Data Release. - Moritz Hardt; Katrina Ligett; Frank McSherry (NIPS, 2012)

Managing Large Graphs on Multi-Cores with Graph Awareness. - Vijayan Prabhakaran; Ming Wu 007; Xuetian Weng; Frank McSherry; Lidong Zhou; Maya Haradasan (USENIX ATC, 2012)

A workflow for differentially-private graph synthesis. - Davide Proserpio; Sharon Goldberg; Frank McSherry (WOSN, 2012)

Differential Dataflow. - Frank McSherry; Derek Gordon Murray; Rebecca Isaacs; Michael Isard (CIDR, 2013)

Formal Analysis of a Distributed Algorithm for Tracking Progress. - Martín Abadi; Frank McSherry; Derek Gordon Murray; Thomas L. Rodeheffer (FMOODS/FORTE, 2013)

Naiad: a timely dataflow system. - Derek Gordon Murray; Frank McSherry; Rebecca Isaacs; Michael Isard; Paul Barham 001; Martín Abadi (SOSP, 2013)

Calibrating Data to Sensitivity in Private Data Analysis. - Davide Proserpio; Sharon Goldberg; Frank McSherry (Proc. VLDB Endow., 2014)

Foundations of Differential Dataflow. - Martín Abadi; Frank McSherry; Gordon D. Plotkin (FoSSaCS, 2015)

Scalability! But at what COST? - Frank McSherry; Michael Isard; Derek Gordon Murray (HotOS, 2015)

Faucet: a user-level, modular technique for flow control in dataflow engines. - Andrea Lattuada 001; Frank McSherry; Zaheer Chothia (BeyondMR@SIGMOD, 2016)

Incremental, iterative data processing with timely dataflow. - Derek Gordon Murray; Frank McSherry; Michael Isard; Rebecca Isaacs; Paul Barham 001; Martín Abadi (Commun. ACM, 2016)

Calibrating Noise to Sensitivity in Private Data Analysis. - Cynthia Dwork; Frank McSherry; Kobbi Nissim; Adam D. Smith 001 (J. Priv. Confidentiality, 2016)

Explaining Outputs in Modern Data Analytics. - Zaheer Chothia; John Liagouris; Frank McSherry; Timothy Roscoe (Proc. VLDB Endow., 2016)

Latency-conscious dataflow reconfiguration. - Moritz Hoffmann 001; Frank McSherry; Andrea Lattuada 001 (BeyondMR@SIGMOD, 2018)

Distributed Evaluation of Subgraph Queries Using Worstcase Optimal LowMemory Dataflows. - Khaled Ammar; Frank McSherry; Semih Salihoglu; Manas Joglekar (CoRR, 2018)

Megaphone: Live state migration for distributed streaming dataflows. - Moritz Hoffmann 001; Andrea Lattuada 001; Frank McSherry; Vasiliki Kalavri; John Liagouris; Timothy Roscoe (CoRR, 2018)

K-Pg: Shared State in Differential Dataflows. - Frank McSherry; Andrea Lattuada 001; Malte Schwarzkopf (CoRR, 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)

Megaphone: Latency-conscious state migration for distributed streaming dataflows. - Moritz Hoffmann 001; Andrea Lattuada 001; Frank McSherry; Vasiliki Kalavri; John Liagouris; Timothy Roscoe (Proc. VLDB Endow., 2019)

Shared Arrangements: practical inter-query sharing for streaming dataflows. - Frank McSherry; Andrea Lattuada 001; Malte Schwarzkopf; Timothy Roscoe (Proc. VLDB Endow., 2020)

Materialize: a platform for building scalable event based systems. - Frank McSherry (DEBS, 2022)

DBSP: Automatic Incremental View Maintenance for Rich Query Languages. - Mihai Budiu; Frank McSherry; Leonid Ryzhyk; Val Tannen (CoRR, 2022)

Timestamp tokens: a better coordination primitive for data-processing systems. - Andrea Lattuada 001; Frank McSherry (CoRR, 2022)

DBSP: Automatic Incremental View Maintenance for Rich Query Languages. - Mihai Budiu; Tej Chajed; Frank McSherry; Leonid Ryzhyk; Val Tannen (Proc. VLDB Endow., 2023)

DBSP: Incremental Computation on Streams and Its Applications to Databases. - Mihai Budiu; Tej Chajed; Frank McSherry; Leonid Ryzhyk; Val Tannen (SIGMOD Rec., 2024)

DBSP: automatic incremental view maintenance for rich query languages. - Mihai Budiu; Leonid Ryzhyk; Gerd Zellweger; Ben Pfaff; Lalith Suresh 001; Simon Kassing; Abhinav Gyawali; Matei Budiu; Tej Chajed; Frank McSherry; Val Tannen (VLDB J., 2025)