Electronic Books in Digital Libraries. - Gultekin Özsoyoglu; Nevzat Hurkan Balkir; Graham Cormode; Z. Meral Özsoyoglu (ADL, 2000)

Communication complexity of document exchange. - Graham Cormode; Mike Paterson; Süleyman Cenk Sahinalp; Uzi Vishkin (SODA, 2000)

Permutation Editing and Matching via Embeddings. - Graham Cormode; S. Muthukrishnan 001; Süleyman Cenk Sahinalp (ICALP, 2001)

Fast Mining of Massive Tabular Data via Approximate Distance Computations. - Graham Cormode; Piotr Indyk; Nick Koudas; S. Muthukrishnan 001 (ICDE, 2002)

Estimating Dominance Norms of Multiple Data Streams. - Graham Cormode; S. Muthukrishnan 001 (ESA, 2003)

Finding Hierarchical Heavy Hitters in Data Streams. - Graham Cormode; Flip Korn; S. Muthukrishnan 001; Divesh Srivastava (VLDB, 2003)

Comparing Data Streams Using Hamming Norms (How to Zero In). - Graham Cormode; Mayur Datar; Piotr Indyk; S. Muthukrishnan 001 (IEEE Trans. Knowl. Data Eng., 2003)

Sequence distance embeddings. - Graham Cormode (2003)

Selected Data Mining Concepts. - James Abello; Graham Cormode; Dmitriy Fradkin; David Madigan; Ofer Melnik; Ilya B. Muchnik (Discrete Methods in Epidemiology, 2004)

Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data. - Graham Cormode; Flip Korn; S. Muthukrishnan 001; Divesh Srivastava (SIGMOD Conference, 2004)

Holistic UDAFs at streaming speeds. - Graham Cormode; Theodore Johnson; Flip Korn; S. Muthukrishnan 001; Oliver Spatscheck; Divesh Srivastava (SIGMOD Conference, 2004)

On Automated Lesson Construction from Electronic Textbooks. - Gultekin Özsoyoglu; Nevzat Hurkan Balkir; Z. Meral Özsoyoglu; Graham Cormode (IEEE Trans. Knowl. Data Eng., 2004)

Effective Computation of Biased Quantiles over Data Streams. - Graham Cormode; Flip Korn; S. Muthukrishnan 001; Divesh Srivastava (ICDE, 2005)

Space efficient mining of multigraph streams. - Graham Cormode; S. Muthukrishnan 001 (PODS, 2005)

Summarizing and Mining Skewed Data Streams. - Graham Cormode; S. Muthukrishnan 001 (SDM, 2005)

Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles. - Graham Cormode; Minos N. Garofalakis; S. Muthukrishnan 001; Rajeev Rastogi (SIGMOD Conference, 2005)

Substring compression problems. - Graham Cormode; S. Muthukrishnan 001 (SODA, 2005)

Sketching Streams Through the Net: Distributed Approximate Query Tracking. - Graham Cormode; Minos N. Garofalakis (VLDB, 2005)

Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling. - Graham Cormode; S. Muthukrishnan 001; Irina Rozenbaum (VLDB, 2005)

Efficient Strategies for Continuous Distributed Tracking Tasks. - Graham Cormode; Minos N. Garofalakis (IEEE Data Eng. Bull., 2005)

An improved data stream summary: the count-min sketch and its applications. - Graham Cormode; S. Muthukrishnan 001 (J. Algorithms, 2005)

What's hot and what's not: tracking most frequent items dynamically. - Graham Cormode; S. Muthukrishnan 001 (ACM Trans. Database Syst., 2005)

What's new: finding significant differences in network data streams. - Graham Cormode; S. Muthukrishnan 001 (IEEE/ACM Trans. Netw., 2005)

Fast Approximate Wavelet Tracking on Streams. - Graham Cormode; Minos N. Garofalakis; Dimitris Sacharidis (EDBT, 2006)

What's Different: Distributed, Continuous Monitoring of Duplicate-Resilient Aggregates on Data Streams. - Graham Cormode; S. Muthukrishnan 001; Wei Zhuang (ICDE, 2006)

Space- and time-efficient deterministic algorithms for biased quantiles over data streams. - Graham Cormode; Flip Korn; S. Muthukrishnan 001; Divesh Srivastava (PODS, 2006)

Communication-efficient distributed monitoring of thresholded counts. - Ram Keralapura; Graham Cormode; Jeyashankher Ramamirtham (SIGMOD Conference, 2006)

Combinatorial Algorithms for Compressed Sensing. - Graham Cormode; S. Muthukrishnan 001 (SIROCCO, 2006)

Streaming in a Connected World. - Graham Cormode; Minos N. Garofalakis (VLDB, 2006)

On Estimating Frequency Moments of Data Streams. - Sumit Ganguly; Graham Cormode (APPROX-RANDOM, 2007)

Conquering the Divide: Continuous Clustering of Distributed Data Streams. - Graham Cormode; S. Muthukrishnan 001; Wei Zhuang (ICDE, 2007)

No Blog is an Island - Analyzing Connections Across Information Networks. - Smriti Bhagat; Graham Cormode; S. Muthukrishnan 001; Irina Rozenbaum; Hongyi Xue (ICWSM, 2007)

Applying Link-Based Classification to Label Blogs. - Smriti Bhagat; Graham Cormode; Irina Rozenbaum (WebKDD/SNA-KDD, 2007)

Time-decaying sketches for sensor data aggregation. - Graham Cormode; Srikanta Tirthapura; Bojian Xu (PODC, 2007)

Sketching probabilistic data streams. - Graham Cormode; Minos N. Garofalakis (SIGMOD Conference, 2007)

Streaming in a connected world: querying and tracking distributed data streams. - Graham Cormode; Minos N. Garofalakis (SIGMOD Conference, 2007)

A near-optimal algorithm for computing the entropy of a stream. - Amit Chakrabarti; Graham Cormode; Andrew McGregor 001 (SODA, 2007)

Fundamentals of analyzing and mining data streams. - Graham Cormode (Monde des Util. Anal. Données, 2007)

The string edit distance matching problem with moves. - Graham Cormode; S. Muthukrishnan 001 (ACM Trans. Algorithms, 2007)

On Signatures for Communication Graphs. - Graham Cormode; Flip Korn; S. Muthukrishnan 001; Yihua Wu (ICDE, 2008)

Exponentially Decayed Aggregates on Data Streams. - Graham Cormode; Flip Korn; Srikanta Tirthapura (ICDE, 2008)

Time-decaying aggregates in out-of-order streams. - Graham Cormode; Flip Korn; Srikanta Tirthapura (PODS, 2008)

Approximation algorithms for clustering uncertain data. - Graham Cormode; Andrew McGregor 001 (PODS, 2008)

Summarizing Two-Dimensional Data with Skyline-Based Statistical Descriptors. - Graham Cormode; Flip Korn; S. Muthukrishnan 001; Divesh Srivastava (SSDBM, 2008)

Key differences between Web 1.0 and Web 2.0. - Graham Cormode; Balachander Krishnamurthy (First Monday, 2008)

Finding frequent items in data streams. - Graham Cormode; Marios Hadjieleftheriou (Proc. VLDB Endow., 2008)

Anonymizing bipartite graph data using safe groupings. - Graham Cormode; Divesh Srivastava; Ting Yu 001; Qing Zhang 014 (Proc. VLDB Endow., 2008)

How NOT to review a paper: the tools and techniques of the adversarial reviewer. - Graham Cormode (SIGMOD Rec., 2008)

Finding hierarchical heavy hitters in streaming data. - Graham Cormode; Flip Korn; S. Muthukrishnan 001; Divesh Srivastava (ACM Trans. Knowl. Discov. Data, 2008)

Approximate continuous querying over distributed streams. - Graham Cormode; Minos N. Garofalakis (ACM Trans. Database Syst., 2008)

Annotations in Data Streams. - Amit Chakrabarti; Graham Cormode; Andrew McGregor 001 (ICALP (1), 2009)

Semantics of Ranking Queries for Probabilistic Data and Expected Ranks. - Graham Cormode; Feifei Li 001; Ke Yi 001 (ICDE, 2009)

Forward Decay: A Practical Time Decay Model for Streaming Systems. - Graham Cormode; Vladislav Shkapenyuk; Divesh Srivastava; Bojian Xu (ICDE, 2009)

Estimating the confidence of conditional functional dependencies. - Graham Cormode; Lukasz Golab; Flip Korn; Andrew McGregor 001; Divesh Srivastava; Xi Zhang (SIGMOD Conference, 2009)

Finding the frequent items in streams of data. - Graham Cormode; Marios Hadjieleftheriou (Commun. ACM, 2009)

Probabilistic Histograms for Probabilistic Data. - Graham Cormode; Antonios Deligiannakis; Minos N. Garofalakis; Andrew McGregor 001 (Proc. VLDB Endow., 2009)

Class-based graph anonymization for social network data. - Graham Cormode; Divesh Srivastava; Smriti Bhagat; Balachander Krishnamurthy (Proc. VLDB Endow., 2009)

Time-decayed correlated aggregates over data streams. - Graham Cormode; Srikanta Tirthapura; Bojian Xu (Stat. Anal. Data Min., 2009)

Time-decaying Sketches for Robust Aggregation of Sensor Data. - Graham Cormode; Srikanta Tirthapura; Bojian Xu (SIAM J. Comput., 2009)

Small synopses for group-by query verification on outsourced data streams. - Ke Yi 001; Feifei Li 001; Graham Cormode; Marios Hadjieleftheriou; George Kollios; Divesh Srivastava (ACM Trans. Database Syst., 2009)

Count-Min Sketch. - Graham Cormode (Encyclopedia of Database Systems, 2009)

Set cover algorithms for very large datasets. - Graham Cormode; Howard J. Karloff; Anthony Wirth (CIKM, 2010)

Anonymized Data: Generation, models, usage. - Graham Cormode; Divesh Srivastava (ICDE, 2010)

Optimal sampling from distributed streams. - Graham Cormode; S. Muthukrishnan 001; Ke Yi 001; Qin Zhang 001 (PODS, 2010)

Prediction Promotes Privacy in Dynamic Social Networks. - Smriti Bhagat; Graham Cormode; Divesh Srivastava (WOSN, 2010)

Privacy in dynamic social networks. - Smriti Bhagat; Graham Cormode; Balachander Krishnamurthy; Divesh Srivastava (WWW, 2010)

Individual Privacy vs Population Privacy: Learning to Attack Anonymization - Graham Cormode (CoRR, 2010)

Verifying Computations with Streaming Interactive Proofs. - Graham Cormode; Justin Thaler; Ke Yi 001 (Electron. Colloquium Comput. Complex., 2010)

A manifesto for modeling and measurement in social media. - Graham Cormode; Balachander Krishnamurthy; Walter Willinger (First Monday, 2010)

Minimizing Minimality and Maximizing Utility: Analyzing Method-based attacks on Anonymized Data. - Graham Cormode; Ninghui Li; Tiancheng Li; Divesh Srivastava (Proc. VLDB Endow., 2010)

A near-optimal algorithm for estimating the entropy of a stream. - Amit Chakrabarti; Graham Cormode; Andrew McGregor 001 (ACM Trans. Algorithms, 2010)

Histograms and Wavelets on Probabilistic Data. - Graham Cormode; Minos N. Garofalakis (IEEE Trans. Knowl. Data Eng., 2010)

Space-optimal heavy hitters with strong error bounds. - Radu Berinde; Piotr Indyk; Graham Cormode; Martin J. Strauss (ACM Trans. Database Syst., 2010)

Methods for finding frequent items in data streams. - Graham Cormode; Marios Hadjieleftheriou (VLDB J., 2010)

Node Classification in Social Networks. - Smriti Bhagat; Graham Cormode; S. Muthukrishnan 001 (Social Network Data Analytics, 2011)

Algorithms for Continuous Distributing Monitoring: A survey. - Graham Cormode (AlMoDEP, 2011)

Personal privacy vs population privacy: learning to attack anonymization. - Graham Cormode (KDD, 2011)

Tracking distributed aggregates over time-based sliding windows. - Graham Cormode; Ke Yi 001 (PODC, 2011)

Structure-aware sampling on data streams. - Edith Cohen; Graham Cormode; Nick G. Duffield (SIGMETRICS, 2011)

Node Classification in Social Networks - Smriti Bhagat; Graham Cormode; S. Muthukrishnan 001 (CoRR, 2011)

Differentially Private Publication of Sparse Data - Graham Cormode; Cecilia Magdalena Procopiuc; Divesh Srivastava; Thanh T. L. Tran (CoRR, 2011)

Differentially Private Spatial Decompositions - Graham Cormode; Magda Procopiuc; Entong Shen; Divesh Srivastava; Ting Yu 001 (CoRR, 2011)

Robust Lower Bounds for Communication and Stream Computation. - Amit Chakrabarti; Graham Cormode; Andrew McGregor 001 (Electron. Colloquium Comput. Complex., 2011)

Streaming Graph Computations with a Helpful Advisor. - Graham Cormode; Michael Mitzenmacher; Justin Thaler (Electron. Colloquium Comput. Complex., 2011)

Structure-Aware Sampling: Flexible and Accurate Summarization. - Edith Cohen; Graham Cormode; Nick G. Duffield (Proc. VLDB Endow., 2011)

Algorithms for distributed functional monitoring. - Graham Cormode; S. Muthukrishnan 001; Ke Yi 001 (ACM Trans. Algorithms, 2011)

Semantics of Ranking Queries for Probabilistic Data. - Jeffrey Jestes; Graham Cormode; Feifei Li 001; Ke Yi 001 (IEEE Trans. Knowl. Data Eng., 2011)

Sketch Algorithms for Estimating Point Queries in NLP. - Amit Goyal 001; Hal Daumé III; Graham Cormode (EMNLP-CoNLL, 2012)

Scienceography: The Study of How Science Is Written. - Graham Cormode; S. Muthukrishnan 001; Jinyun Yan (FUN, 2012)

Differentially Private Spatial Decompositions. - Graham Cormode; Cecilia M. Procopiuc; Divesh Srivastava; Entong Shen; Ting Yu 001 (ICDE, 2012)

Aggregate Query Answering on Possibilistic Data with Cardinality Constraints. - Graham Cormode; Divesh Srivastava; Entong Shen; Ting Yu 001 (ICDE, 2012)

A Dataset Search Engine for the Research Document Corpus. - Meiyu Lu; Srinivas Bangalore; Graham Cormode; Marios Hadjieleftheriou; Divesh Srivastava (ICDE, 2012)

Differentially private summaries for sparse data. - Graham Cormode; Cecilia M. Procopiuc; Divesh Srivastava; Thanh T. L. Tran (ICDT, 2012)

Practical verified computation with streaming interactive proofs. - Graham Cormode; Michael Mitzenmacher; Justin Thaler (ITCS, 2012)

Don't let the negatives bring you down: sampling from streams of signed updates. - Edith Cohen; Graham Cormode; Nick G. Duffield (SIGMETRICS, 2012)

Scienceography: the study of how science is written - Graham Cormode; S. Muthukrishnan 001; Jinyun Yun (CoRR, 2012)

Annotations in Data Streams. - Amit Chakrabarti; Graham Cormode; Andrew McGregor 001; Justin Thaler (Electron. Colloquium Comput. Complex., 2012)

Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches. - Graham Cormode; Minos N. Garofalakis; Peter J. Haas; Chris Jermaine (Found. Trends Databases, 2012)

Continuous sampling from distributed streams. - Graham Cormode; S. Muthukrishnan 001; Ke Yi 001; Qin Zhang 001 (J. ACM, 2012)

Large-Scale Distributed Computation (NII Shonan Meeting 2012-1). - Graham Cormode; S. Muthukrishnan 001; Ke Yi 001 (NII Shonan Meet. Rep., 2012)

Studying the source code of scientific research. - Graham Cormode; S. Muthukrishnan 001; Jinyun Yan (SIGKDD Explor., 2012)

Approximating Data with the Count-Min Sketch. - Graham Cormode; S. Muthu Muthukrishnan (IEEE Softw., 2012)

On Unifying the Space of ℓ0-Sampling Algorithms. - Graham Cormode; Donatella Firmani (ALENEX, 2013)

Summary Data Structures for Massive Data. - Graham Cormode (CiE, 2013)

First author advantage: citation labeling in research. - Graham Cormode; S. Muthukrishnan 001; Jinyun Yan (CompSci@CIKM, 2013)

UMicS: from anonymized data to usable microdata. - Graham Cormode; Entong Shen; Xi Gong; Ting Yu 001; Cecilia M. Procopiuc; Divesh Srivastava (CIKM, 2013)

Empirical privacy and empirical utility of anonymized data. - Graham Cormode; Cecilia M. Procopiuc; Entong Shen; Divesh Srivastava; Ting Yu 001 (ICDE Workshops, 2013)

Finding interesting correlations with conditional heavy hitters. - Katsiaryna Mirylenka; Themis Palpanas; Graham Cormode; Divesh Srivastava (ICDE, 2013)

Accurate and efficient private release of datacubes and contingency tables. - Grigory Yaroslavtsev; Graham Cormode; Cecilia M. Procopiuc; Divesh Srivastava (ICDE, 2013)

Lightweight authentication of linear algebraic queries on data streams. - Stavros Papadopoulos 001; Graham Cormode; Antonios Deligiannakis; Minos N. Garofalakis (SIGMOD Conference, 2013)

Quantiles over data streams: an experimental study. - Lu Wang 002; Ge Luo 001; Ke Yi 001; Graham Cormode (SIGMOD Conference, 2013)

On Interactivity in Arthur-Merlin Communication and Stream Computation. - Amit Chakrabarti; Graham Cormode; Andrew McGregor 001; Justin Thaler; Suresh Venkatasubramanian (Electron. Colloquium Comput. Complex., 2013)

Socializing the h-index. - Graham Cormode; Qiang Ma 006; S. Muthukrishnan 001; Brian Thompson (J. Informetrics, 2013)

Information Cost Tradeoffs for Augmented Index and Streaming Language Recognition. - Amit Chakrabarti; Graham Cormode; Ranganath Kondapally; Andrew McGregor 001 (SIAM J. Comput., 2013)

The continuous distributed monitoring model. - Graham Cormode (SIGMOD Rec., 2013)

What does an associate editor actually do? - Graham Cormode (SIGMOD Rec., 2013)

Mergeable summaries. - Pankaj K. Agarwal; Graham Cormode; Zengfeng Huang; Jeff M. Phillips; Zhewei Wei; Ke Yi 001 (ACM Trans. Database Syst., 2013)

Sampling for big data: a tutorial. - Graham Cormode; Nick G. Duffield (KDD, 2014)

Annotations for Sparse Data Streams. - Amit Chakrabarti; Graham Cormode; Navin Goyal; Justin Thaler (SODA, 2014)

People like us: mining scholarly data for comparable researchers. - Graham Cormode; S. Muthukrishnan 001; Jinyun Yan (WWW (Companion Volume), 2014)

Modeling collaboration in academia: a game theoretic approach. - Qiang Ma 006; S. Muthukrishnan 001; Brian Thompson; Graham Cormode (WWW (Companion Volume), 2014)

Parameterized Streaming Algorithms for Vertex Cover. - Rajesh Hemant Chitnis; Graham Cormode; Mohammad Taghi Hajiaghayi; Morteza Monemizadeh (CoRR, 2014)

A unifying framework for ℓ 0-sampling algorithms. - Graham Cormode; Donatella Firmani (Distributed Parallel Databases, 2014)

Front Matter. - Graham Cormode (Proc. VLDB Endow., 2014)

A second look at counting triangles in graph streams. - Graham Cormode; Hossein Jowhari (Theor. Comput. Sci., 2014)

Lightweight Query Authentication on Streams. - Stavros Papadopoulos 001; Graham Cormode; Antonios Deligiannakis; Minos N. Garofalakis (ACM Trans. Database Syst., 2014)

Streaming Methods in Data Analysis. - Graham Cormode (BICOD, 2015)

Conservative or liberal? Personalized differential privacy. - Zach Jorgensen; Ting Yu 001; Graham Cormode (ICDE, 2015)

The Confounding Problem of Private Data Release (Invited Talk). - Graham Cormode (ICDT, 2015)

Compact Summaries over Large Datasets. - Graham Cormode (PODS, 2015)

Private Release of Graph Statistics using Ladder Functions. - Jun Zhang 063; Graham Cormode; Cecilia M. Procopiuc; Divesh Srivastava; Xiaokui Xiao (SIGMOD Conference, 2015)

Parameterized Streaming: Maximal Matching and Vertex Cover. - Rajesh Hemant Chitnis; Graham Cormode; Mohammad Taghi Hajiaghayi; Morteza Monemizadeh (SODA, 2015)

Brief Announcement: New Streaming Algorithms for Parameterized Maximal Matching & Beyond. - Rajesh Hemant Chitnis; Graham Cormode; Hossein Esfandiari; MohammadTaghi Hajiaghayi; Morteza Monemizadeh (SPAA, 2015)

Kernelization via Sampling with Applications to Dynamic Graph Streams. - Rajesh Hemant Chitnis; Graham Cormode; Hossein Esfandiari; MohammadTaghi Hajiaghayi; Andrew McGregor 001; Morteza Monemizadeh; Sofya Vorotnikova (CoRR, 2015)

DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems. - Xi He 001; Graham Cormode; Ashwin Machanavajjhala; Cecilia M. Procopiuc; Divesh Srivastava (Proc. VLDB Endow., 2015)

Conditional heavy hitters: detecting interesting correlations in data streams. - Katsiaryna Mirylenka; Graham Cormode; Themis Palpanas; Divesh Srivastava (VLDB J., 2015)

Join Sizes, Frequency Moments, and Applications. - Graham Cormode; Minos N. Garofalakis (Data Stream Management, 2016)

Stable Distributions in Streaming Computations. - Graham Cormode; Piotr Indyk (Data Stream Management, 2016)

Publishing Attributed Social Graphs with Formal Privacy Guarantees. - Zach Jorgensen; Ting Yu 001; Graham Cormode (SIGMOD Conference, 2016)

Kernelization via Sampling with Applications to Finding Matchings and Related Problems in Dynamic Graph Streams. - Rajesh Chitnis; Graham Cormode; Hossein Esfandiari; MohammadTaghi Hajiaghayi; Andrew McGregor 001; Morteza Monemizadeh; Sofya Vorotnikova (SODA, 2016)

On the Tradeoff between Stability and Fit. - Edith Cohen; Graham Cormode; Nick G. Duffield; Carsten Lund (ACM Trans. Algorithms, 2016)

Quantiles over data streams: experimental comparisons, new analyses, and further improvements. - Ge Luo 001; Lu Wang 002; Ke Yi 001; Graham Cormode (VLDB J., 2016)

AMS Sketch. - Graham Cormode (Encyclopedia of Algorithms, 2016)

Count-Min Sketch. - Graham Cormode (Encyclopedia of Algorithms, 2016)

Misra-Gries Summaries. - Graham Cormode (Encyclopedia of Algorithms, 2016)

The Sparse Awakens: Streaming Algorithms for Matching Size Estimation in Sparse Graphs. - Graham Cormode; Hossein Jowhari; Morteza Monemizadeh; S. Muthukrishnan 001 (ESA, 2017)

Engineering Streaming Algorithms. - Graham Cormode (SEA, 2017)

Independent Set Size Approximation in Graph Streams. - Graham Cormode; Jacques Dark; Christian Konrad 001 (CoRR, 2017)

Constrained Differential Privacy for Count Data. - Graham Cormode; Tejas Kulkarni; Divesh Srivastava (CoRR, 2017)

Data Sketching. - Graham Cormode (ACM Queue, 2017)

A second look at counting triangles in graph streams (corrected). - Graham Cormode; Hossein Jowhari (Theor. Comput. Sci., 2017)

Corrigendum to "A second look at counting triangles in graph streams" [Theoret. Comput. Sci. 552 (2014) 44-51]. - Graham Cormode; Hossein Jowhari (Theor. Comput. Sci., 2017)

PrivBayes: Private Data Release via Bayesian Networks. - Jun Zhang 063; Graham Cormode; Cecilia M. Procopiuc; Divesh Srivastava; Xiaokui Xiao (ACM Trans. Database Syst., 2017)

Cheap Checking for Cloud Computing: Statistical Analysis via Annotated Data Streams. - Chris Hickey; Graham Cormode (AISTATS, 2018)

You Can Check Others' Work More Quickly Than Doing It Yourself. - Graham Cormode; Chris Hickey (ICDE, 2018)

Learning Graphical Models from a Distributed Stream. - Yu Zhang 148; Srikanta Tirthapura; Graham Cormode (ICDE, 2018)

Fast Sketch-based Recovery of Correlation Outliers. - Graham Cormode; Jacques Dark (ICDT, 2018)

Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski p-Norms. - Graham Cormode; Charlie Dickens; David P. Woodruff (ICML, 2018)

Approximating the Caro-Wei Bound for Independent Sets in Graph Streams. - Graham Cormode; Jacques Dark; Christian Konrad 001 (ISCO, 2018)

Data Summarization and Distributed Computation. - Graham Cormode (PODC, 2018)

Privacy at Scale: Local Differential Privacy in Practice. - Graham Cormode; Somesh Jha; Tejas Kulkarni; Ninghui Li; Divesh Srivastava; Tianhao Wang 001 (SIGMOD Conference, 2018)

Marginal Release Under Local Differential Privacy. - Graham Cormode; Tejas Kulkarni; Divesh Srivastava (SIGMOD Conference, 2018)

Leveraging Well-Conditioned Bases: Streaming & Distributed Summaries in Minkowski p-Norms. - Graham Cormode; Charlie Dickens; David P. Woodruff (CoRR, 2018)

Count-Min Sketch. - Graham Cormode (Encyclopedia of Database Systems (2nd ed.), 2018)

Independent Sets in Vertex-Arrival Streams. - Graham Cormode; Jacques Dark; Christian Konrad 001 (ICALP, 2019)

Efficient Interactive Proofs for Linear Algebra. - Graham Cormode; Chris Hickey (ISAAC, 2019)

Towards a Theory of Parameterized Streaming Algorithms. - Rajesh Chitnis; Graham Cormode (IPEC, 2019)

Technical perspective: The true cost of popularity. - Graham Cormode (Commun. ACM, 2019)

Iterative Hessian Sketch in Input Sparsity Time. - Graham Cormode; Charlie Dickens (CoRR, 2019)

Advances and Open Problems in Federated Learning. - Peter Kairouz; H. Brendan McMahan; Brendan Avent; Aurélien Bellet; Mehdi Bennis; Arjun Nitin Bhagoji; Kallista A. Bonawitz; Zachary Charles; Graham Cormode; Rachel Cummings; Rafael G. L. D'Oliveira; Salim El Rouayheb; et al. (CoRR, 2019)

Lp Samplers and Their Applications: A Survey. - Graham Cormode; Hossein Jowhari (ACM Comput. Surv., 2019)

Answering Range Queries Under Local Differential Privacy. - Graham Cormode; Tejas Kulkarni; Divesh Srivastava (Proc. VLDB Endow., 2019)

Verifiable Stream Computation and Arthur-Merlin Communication. - Amit Chakrabarti; Graham Cormode; Andrew McGregor 001; Justin Thaler; Suresh Venkatasubramanian (SIAM J. Comput., 2019)

Technical Perspective: #8712;KTELO. - Graham Cormode (SIGMOD Rec., 2019)

A Tight Lower Bound for Comparison-Based Quantile Summaries. - Graham Cormode; Pavel Veselý 001 (PODS, 2020)

Sequential Random Sampling Revisited: Hidden Shuffle Method. - Michael Shekelyan; Graham Cormode (AISTATS, 2021)

Applying the Shuffle Model of Differential Privacy to Vector Aggregation. - Mary Scott; Graham Cormode; Carsten Maple (BICOD, 2021)

Theory meets Practice at the Median: A Worst Case Comparison of Relative Error Quantile Algorithms. - Graham Cormode; Abhinav Mishra; Joseph Ross; Pavel Veselý 001 (KDD, 2021)

Subspace Exploration: Bounds on Projected Frequency Estimation. - Graham Cormode; Charlie Dickens; David P. Woodruff (PODS, 2021)

Data-Independent Space Partitionings for Summaries. - Graham Cormode; Minos N. Garofalakis; Michael Shekelyan (PODS, 2021)

Privacy-Preserving Synthetic Location Data in the Real World. - Teddy Cunningham; Graham Cormode; Hakan Ferhatosmanoglu (SSTD, 2021)

Correlation Clustering in Data Streams. - Kook Jin Ahn; Graham Cormode; Sudipto Guha; Andrew McGregor 001; Anthony Wirth (Algorithmica, 2021)

Theory meets Practice: worst case behavior of quantile algorithms. - Graham Cormode; Abhinav Mishra; Joseph Ross; Pavel Veselý 001 (CoRR, 2021)

Frequency Estimation under Local Differential Privacy [Experiments, Analysis and Benchmarks]. - Graham Cormode; Samuel Maddock; Carsten Maple (CoRR, 2021)

Bit-efficient Numerical Aggregation and Stronger Privacy for Trust in Federated Analytics. - Graham Cormode; Igor L. Markov (CoRR, 2021)

Opacus: User-Friendly Differential Privacy Library in PyTorch. - Ashkan Yousefpour; Igor Shilov; Alexandre Sablayrolles; Davide Testuggine; Karthik Prasad; Mani Malek 001; John Nguyen; Sayan Ghosh; Akash Bharadwaj; Jessica Zhao; Graham Cormode; Ilya Mironov (CoRR, 2021)

Advances and Open Problems in Federated Learning. - Peter Kairouz; H. Brendan McMahan; Brendan Avent; Aurélien Bellet; Mehdi Bennis; Arjun Nitin Bhagoji; Kallista A. Bonawitz; Zachary Charles; Graham Cormode; Rachel Cummings; Rafael G. L. D'Oliveira; Hubert Eichner; et al. (Found. Trends Mach. Learn., 2021)

Streaming Algorithms for Bin Packing and Vector Scheduling. - Graham Cormode; Pavel Veselý 001 (Theory Comput. Syst., 2021)

Frequency Estimation under Local Differential Privacy. - Graham Cormode; Samuel Maddock; Carsten Maple (Proc. VLDB Endow., 2021)

Real-World Trajectory Sharing with Local Differential Privacy. - Teddy Cunningham; Graham Cormode; Hakan Ferhatosmanoglu; Divesh Srivastava (Proc. VLDB Endow., 2021)

Technical Perspective: A Framework for Adversarially Robust Streaming Algorithms. - Graham Cormode (SIGMOD Rec., 2021)

Current Trends in Data Summaries. - Graham Cormode (SIGMOD Rec., 2021)

Constrained Private Mechanisms for Count Data. - Graham Cormode; Tejas Kulkarni; Divesh Srivastava (IEEE Trans. Knowl. Data Eng., 2021)

Sample-and-threshold differential privacy: Histograms and applications. - Graham Cormode; Akash Bharadwaj (AISTATS, 2022)

Federated Boosted Decision Trees with Differential Privacy. - Samuel Maddock; Graham Cormode; Tianhao Wang 001; Carsten Maple; Somesh Jha (CCS, 2022)

On the Importance of Difficulty Calibration in Membership Inference Attacks. - Lauren Watson; Chuan Guo 001; Graham Cormode; Alexandre Sablayrolles (ICLR, 2022)

An Introduction to Federated Computation. - Akash Bharadwaj; Graham Cormode (SIGMOD Conference, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

Weighted Random Sampling over Joins. - Michael Shekelyan; Graham Cormode; Peter Triantafillou; Ali Mohammadi Shanghooshabad; Qingzhi Ma (CoRR, 2022)

Optimal Membership Inference Bounds for Adaptive Composition of Sampled Gaussian Mechanisms. - Saeed Mahloujifar; Alexandre Sablayrolles; Graham Cormode; Somesh Jha (CoRR, 2022)

Impact of Sampling on Locally Differentially Private Data Collection. - Sayan Biswas; Graham Cormode; Carsten Maple (CoRR, 2022)

Verifiable Differential Privacy For When The Curious Become Dishonest. - Ari Biswas; Graham Cormode (CoRR, 2022)

Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming. - Ziyue Huang; Yuan Qiu 002; Ke Yi 001; Graham Cormode (Proc. VLDB Endow., 2022)

Relative Error Streaming Quantiles. - Graham Cormode; Zohar S. Karnin; Edo Liberty; Justin Thaler; Pavel Veselý 001 (SIGMOD Rec., 2022)

Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy. - Mary Scott; Graham Cormode; Carsten Maple (IEEE Trans. Inf. Forensics Secur., 2022)

The communication cost of security and privacy in federated frequency estimation. - Wei-Ning Chen; Ayfer Özgür; Graham Cormode; Akash Bharadwaj (AISTATS, 2023)

Interactive Proofs For Differentially Private Counting. - Ari Biswas; Graham Cormode (CCS, 2023)

Streaming Weighted Sampling over Join Queries. - Michael Shekelyan; Graham Cormode; Qingzhi Ma; Ali Mohammadi Shanghooshabad; Peter Triantafillou (EDBT, 2023)

Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting. - Jonathan Hehir; Daniel Ting; Graham Cormode (ICML, 2023)

Applications of Sketching and Pathways to Impact. - Graham Cormode (PODS, 2023)

Pruning Compact ConvNets for Efficient Inference. - Sayan Ghosh; Karthik Prasad; Xiaoliang Dai; Peizhao Zhang; Bichen Wu; Graham Cormode; Peter Vajda (CoRR, 2023)

Reconciling Security and Communication Efficiency in Federated Learning. - Karthik Prasad; Sayan Ghosh; Graham Cormode; Ilya Mironov; Ashkan Yousefpour; Pierre Stock (IEEE Data Eng. Bull., 2023)

PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy. - Kuntai Cai; Xiaokui Xiao; Graham Cormode (Proc. ACM Manag. Data, 2023)

Federated Calibration and Evaluation of Binary Classifiers. - Graham Cormode; Igor L. Markov (Proc. VLDB Endow., 2023)

Technical Perspective on 'R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys. - Graham Cormode (SIGMOD Rec., 2023)

Federated Experiment Design under Distributed Differential Privacy. - Wei-Ning Chen; Graham Cormode; Akash Bharadwaj; Peter Romov; Ayfer Özgür (AISTATS, 2024)

Streaming Zero-Knowledge Proofs. - Graham Cormode; Marcel Dall'Agnol; Tom Gur; Chris Hickey (CCC, 2024)

Private and Efficient Federated Numerical Aggregation. - Graham Cormode; Igor L. Markov; Harish Srinivas (EDBT, 2024)

FLAIM: AIM-based Synthetic Data Generation in the Federated Setting. - Samuel Maddock; Graham Cormode; Carsten Maple (KDD, 2024)

Private and Secure Fuzzy Name Matching. - Harsh Kasyap; Ugur-Ilker Atmaca; Carsten Maple; Graham Cormode; Jiancong He (CoRR, 2024)

Towards Robust Federated Analytics via Differentially Private Measurements of Statistical Heterogeneity. - Mary Scott; Graham Cormode; Carsten Maple (CoRR, 2024)

Distributed, communication-efficient, and differentially private estimation of KL divergence. - Mary Scott; Sayan Biswas; Graham Cormode; Carsten Maple (CoRR, 2024)

Federated Analytics in Practice: Engineering for Privacy, Scalability and Practicality. - Harish Srinivas; Graham Cormode; Mehrdad Honarkhah; Samuel Lurye; Jonathan Hehir; Lunwen He; George Hong; Ahmed Magdy; Dzmitry Huba; Kaikai Wang; Shen Guo; Shoubhik Bhattacharya (CoRR, 2024)

Technical Perspective on 'Better Differentially Private Approximate Histograms and Heavy Hitters using the Misra-Gries Sketch'. - Graham Cormode (SIGMOD Rec., 2024)

Federated computation: a survey of concepts and challenges. - Akash Bharadwaj; Graham Cormode (Distributed Parallel Databases, 2024)

Differentially Private Hierarchical Heavy Hitters. - Ari Biswas; Graham Cormode; Yaron Kanza; Divesh Srivastava; Zhengyi Zhou (Proc. ACM Manag. Data, 2024)

PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality. - Harish Srinivas; Graham Cormode; Mehrdad Honarkhah; Samuel Lurye; Jonathan Hehir; Lunwen He; George Hong; Ahmed Magdy; Dzmitry Huba; Kaikai Wang; Shen Guo; Shoubhik Bhattacharya (NSDI, 2025)

The ACM PODS Alberto O. Mendelzon Test-of-Time Award 2025. - Diego Calvanese; Graham Cormode; Leonid Libkin (PODS Companion, 2025)

Technical Perspective: Toward Building a Differentially Private DBMS. - Graham Cormode (Commun. ACM, 2025)

Technical Perspective on 'OmniSketch: Streaming Data Analytics with Arbitrary Predicates'. - Graham Cormode (SIGMOD Rec., 2025)

Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation. - Samuel Maddock; Shripad Gade; Graham Cormode; Will Bullock (CoRR, 2025)

Federated Data Shift Distance Estimation. - Graham Cormode; Daniel Ting (Proc. VLDB Endow., 2025)

Synthetic Tabular Data: Methods, Attacks and Defenses. - Graham Cormode; Samuel Maddock; Enayat Ullah; Shripad Gade (CoRR, 2025)