| 2018 | SIGMOD | Latency-conscious dataflow reconfiguration. | Moritz Hoffmann, Frank McSherry, Andrea Lattuada |
| 2016 | SIGMOD | Faucet: a user-level, modular technique for flow control in dataflow engines. | Andrea Lattuada, Frank McSherry, Zaheer Chothia |
| 2015 | FOSSACS | Foundations of Differential Dataflow. | Martn Abadi, Frank McSherry, Gordon D. Plotkin |
| 2015 | HotOS | Scalability! But at what COST? | Frank McSherry, Michael Isard, Derek Gordon Murray |
| 2013 | CIDR | Differential Dataflow. | Frank McSherry, Derek Gordon Murray, Rebecca Isaacs, Michael Isard |
| 2013 | FORTE | Formal Analysis of a Distributed Algorithm for Tracking Progress. | Martn Abadi, Frank McSherry, Derek Gordon Murray, Thomas L. Rodeheffer |
| 2013 | SOSP | Naiad: a timely dataflow system. | Derek Gordon Murray, Frank McSherry, Rebecca Isaacs, Michael Isard, Paul Barham, Martn Abadi |
| 2012 | USENIX | Managing Large Graphs on Multi-Cores with Graph Awareness. | Vijayan Prabhakaran, Ming Wu, Xuetian Weng, Frank McSherry, Lidong Zhou, Maya Haradasan |
| 2011 | PLDI | Differential privacy with information flow control. | Arnar Birgisson, Frank McSherry, Martn Abadi |
| 2010 | SIGIR | A data-parallel toolkit for information retrieval. | Dennis Fetterly, Frank McSherry |
| 2010 | SODA | Differentially Private Combinatorial Optimization. | Anupam Gupta, Katrina Ligett, Frank McSherry, Aaron Roth, Kunal Talwar |
| 2010 | SIGCOMM | Differentially-private network trace analysis. | Frank McSherry, Ratul Mahajan |
| 2009 | KDD | Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders. | Frank McSherry, Ilya Mironov |
| 2009 | SIGMOD | Privacy integrated queries: an extensible platform for privacy-preserving data analysis. | Frank McSherry |
| 2008 | ECIR | Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores. | Frank McSherry, Marc Najork |
| 2007 | FOCS | Mechanism Design via Differential Privacy. | Frank McSherry, Kunal Talwar |
| 2007 | PODS | Privacy, accuracy, and consistency too: a holistic solution to contingency table release. | Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Satyen Kale, Frank McSherry, Kunal Talwar |
| 2007 | STOC | The price of privacy and the limits of LP decoding. | Cynthia Dwork, Frank McSherry, Kunal Talwar |
| 2006 | CCS | Data collection with self-enforcing privacy. | Philippe Golle, Frank McSherry, Ilya Mironov |
| 2006 | EuroCrypt | Our Data, Ourselves: Privacy Via Distributed Noise Generation. | Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor |
| 2006 | TCC | Calibrating Noise to Sensitivity in Private Data Analysis. | Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith |
| 2005 | COLT | On Spectral Learning of Mixtures of Distributions. | Dimitris Achlioptas, Frank McSherry |
| 2005 | PODS | Practical privacy: the SuLQ framework. | Avrim Blum, Cynthia Dwork, Frank McSherry, Kobbi Nissim |
| 2005 | WWW | A uniform approach to accelerated PageRank computation. | Frank McSherry |
| 2005 | SODA | On profit-maximizing envy-free pricing. | Venkatesan Guruswami, Jason D. Hartline, Anna R. Karlin, David Kempe, Claire Kenyon, Frank McSherry |
| 2005 | UAI | On Privacy-Preserving Histograms. | Shuchi Chawla, Cynthia Dwork, Frank McSherry, Kunal Talwar |
| 2005 | TCC | Toward Privacy in Public Databases. | Shuchi Chawla, Cynthia Dwork, Frank McSherry, Adam D. Smith, Hoeteck Wee |
| 2004 | FOCS | Spectral Analysis of Random Graphs with Skewed Degree Distributions. | Anirban Dasgupta, John E. Hopcroft, Frank McSherry |
| 2004 | STOC | A decentralized algorithm for spectral analysis. | David Kempe, Frank McSherry |
| 2001 | FOCS | Web Search via Hub Synthesis. | Dimitris Achlioptas, Amos Fiat, Anna R. Karlin, Frank McSherry |
| 2001 | FOCS | Spectral Partitioning of Random Graphs. | Frank McSherry |
| 2001 | STOC | Fast computation of low rank matrix. | Dimitris Achlioptas, Frank McSherry |
| 2001 | STOC | Spectral analysis of data. | Yossi Azar, Amos Fiat, Anna R. Karlin, Frank McSherry, Jared Saia |