Frank McSherry | Academic Influence

Frank McSherry's AcademicInfluence.com Rankings

Frank McSherry

Computer Science

#1248

World Rank

#1288

Historical Rank

Database

#203

World Rank

#210

Historical Rank

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Computer Science

Frank McSherry's Degrees

PhD Computer Science University of Washington

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Why Is Frank McSherry Influential?

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According to Wikipedia, Frank McSherry is a computer scientist. McSherry's areas of research include distributed computing and information privacy. McSherry is known, along with Cynthia Dwork, Adam D. Smith, and Kobbi Nissim, as one of the co-inventors of differential privacy, for which he won the 2017 Gödel Prize. Along with Kunal Talwar, he is the co-creator of the exponential mechanism for differential privacy, for which they won the 2009 PET Award for Outstanding Research in Privacy Enhancing Technologies.

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Frank McSherry's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Calibrating Noise to Sensitivity in Private Data Analysis (2006) (6218)
Mechanism Design via Differential Privacy (2007) (2002)
Our Data, Ourselves: Privacy Via Distributed Noise Generation (2006) (1734)
Privacy integrated queries: an extensible platform for privacy-preserving data analysis (2009) (1160)
Practical privacy: the SuLQ framework (2005) (880)
Naiad: a timely dataflow system (2013) (821)
Differentially private recommender systems: building privacy into the net (2009) (732)
Spectral partitioning of random graphs (2001) (638)
Privacy, accuracy, and consistency too: a holistic solution to contingency table release (2007) (503)
A Simple and Practical Algorithm for Differentially Private Data Release (2010) (432)
On profit-maximizing envy-free pricing (2005) (333)
Toward Privacy in Public Databases (2005) (319)
Fast computation of low rank matrix approximations (2001) (319)
Scalability! But at what COST? (2015) (318)
Spectral analysis of data (2001) (307)
A decentralized algorithm for spectral analysis (2004) (298)
On Spectral Learning of Mixtures of Distributions (2005) (277)
The price of privacy and the limits of LP decoding (2007) (229)
Sampling Techniques for Kernel Methods (2001) (200)
Privacy integrated queries (2009) (192)
Differentially private combinatorial optimization (2009) (185)
Differential Dataflow (2013) (170)
Fast computation of low-rank matrix approximations (2007) (169)
A First Look at Peer-to-Peer Worms: Threats and Defenses (2005) (159)
Calibrating Data to Sensitivity in Private Data Analysis (2012) (131)
Differentially-private network trace analysis (2010) (130)
Probabilistic Inference and Differential Privacy (2010) (126)
A uniform approach to accelerated PageRank computation (2005) (123)
Managing Large Graphs on Multi-Cores with Graph Awareness (2012) (114)
Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores (2008) (96)
Consistent Weighted Sampling (2007) (90)
A cool and practical alternative to traditional hash tables (2006) (82)
A workflow for differentially-private graph synthesis (2012) (63)
Web search via hub synthesis (2001) (62)
Spectral analysis of random graphs with skewed degree distributions (2004) (56)
Incremental, iterative data processing with timely dataflow (2016) (37)
Data Collection with Self-Enforcing Privacy (2008) (34)
Explaining Outputs in Modern Data Analytics (2016) (31)
Distributed Evaluation of Subgraph Queries Using Worst-case Optimal and Low-Memory Dataflows (2018) (30)
On the Utility of Privacy-Preserving Histograms (2004) (29)
On Privacy-Preserving Histograms (2005) (29)
Megaphone: Latency-conscious state migration for distributed streaming dataflows (2018) (27)
Differentially Private Approximation Algorithms (2009) (25)
Distributed Evaluation of Subgraph Queries Using Worstcase Optimal LowMemory Dataflows (2018) (24)
Differential Privacy – A Primer for the Perplexed (2011) (24)
Differentially private recommender systems (2009) (23)
Fast computation of low rank matrix. (2001) (16)
Composable Incremental and Iterative Data-Parallel Computation with Naiad (2012) (15)
Some sample programs written in DryadLINQ (2009) (15)
Shared Arrangements: practical inter-query sharing for streaming dataflows (2018) (15)
Data collection with self-enforcing privacy (2006) (14)
Faucet: a user-level, modular technique for flow control in dataflow engines (2016) (13)
Spectral methods for data analysis (2004) (13)
Scaling Up Machine Learning: Large-Scale Machine Learning Using DryadLINQ (2011) (12)
Formal Analysis of a Distributed Algorithm for Tracking Progress (2013) (11)
Foundations of Differential Dataflow (2015) (9)
The Performance of Ad Hoc Networking Protocols in Highly Mobile Environments (2000) (9)
Data mining through spectral analy - sis (2001) (7)
Naiad : The Animating Spirit of Rivers and Streams (2011) (5)
Latency-conscious dataflow reconfiguration (2018) (4)
Differential privacy with information flow control (2011) (3)
Megaphone (2019) (3)
DBSP: Automatic Incremental View Maintenance for Rich Query Languages (2022) (3)
K-Pg: Shared State in Differential Dataflows (2018) (2)
Tabular data protection DIFFERENTIALLY PRIVATE MARGINALS RELEASE WITH MUTUAL CONSISTENCY AND ERROR INDEPENDENT OF SAMPLE SIZE (2007) (2)
A data-parallel toolkit for information retrieval (2010) (1)
Megaphone: Live state migration for distributed streaming dataflows (2018) (1)
The Last Plant Standing - Ecosystem assessment and Response to Human Disturbance in the Gordon Natural Area, West Chester University, Chester County, Pennsylvania (2004) (0)
Dixie Ghosts: Haunting, Spine-Chilling Stories from the American South (1988) (0)
Mississippi River tales : from the American storytelling tradition (1988) (0)
Special Issue On The Thirty-Eighth Annual ACM Symposium On Theory Of Computing (STOC 2006) (2009) (0)
Session details: Session 13A (2006) (0)
Confederate Battle Stories (1992) (0)
Detectives A to Z (1985) (0)
Civil War women : the Civil War seen through women's eyes in stories by Louisa May Alcott, Kate Chopin, Eudora Welty, and other great women writers (1990) (0)
wPINQ: Differentially-Private Analysis of Weighted Datasets (2015) (0)
Treasury of American horror stories (1985) (0)
Explorer Foundations of Differential Dataflow (2014) (0)
Materialize (2022) (0)
Master's Thesis Nr. 144 Programmable Scheduling in a Stream Processing System (2016) (0)
Timestamp tokens: a better coordination primitive for data-processing systems (2022) (0)
Materialize: a platform for building scalable event based systems (2022) (0)
Using DryadLINQ for Large Matrix Operations (2011) (0)
Session details: Session 7A (2006) (0)

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Other Resources About Frank McSherry

en.wikipedia.org

What Schools Are Affiliated With Frank McSherry?

Frank McSherry is affiliated with the following schools:

University of Washington