Research Interests
My interests are in all aspects of the "data lifecycle", from data collection and cleaning, through mining and analytics, and private data release. More details in my list of publications.
Biography
From 2004-06, I worked at Bell Laboratories in the Internet Management Research Department. From 2006-2013, I was a researcher at AT&T Labs-Research. Between 2002 and 2004, I was a postdoctoral fellow at DIMACS, the Center for Discrete Mathematics and Computer Science. I completed my PhD at the Department of Computer Science at the University of Warwick, UK in 2002. I spent a year of my PhD studying in Cleveland, Ohio at Case Western Reserve University with the Electrical Engineering and Computer Science Department , and Summer 2000 at AT&T Shannon research labs.
- Cormode, Graham, Jowhari, Hossein, 2019. Lp samplers and their applications : a survey. ACM Computing Surveys, 52 (1)
- Chakrabarti, Amit, Cormode, Graham, McGregor, Andrew, Thaler, Justin, Venkatasubramanian, Suresh, 2019. Verifiable stream computation and Arthur-Merlin communication. SIAM Journal on Computing
- Cormode, Graham, Dasgupta, Anirban, Goyal, Amit, Lee, Chi Hoon, 2018. An evaluation of multi-probe locality sensitive hashing for computing similarities over web-scale query logs. PLoS One, 13 (1)
- Cormode, Graham, Jowhari, Hossein, 2017. A second look at counting triangles in graph streams (corrected). Theoretical Computer Science, 683, pp. 22-30
- Cormode, Graham, 2017. Data sketching. Communications of the ACM, 60 (9), pp. 48-55
- Zhang, Jun, Cormode, Graham, Procopiuc, Cecilia, Srivastava, Divesh, Xiao, Xiaokui, 2017. Privbayes : private data release via Bayesian networks. ACM Transactions on Database Systems, 42 (4)
- Luo, Ge, Wang, Lu, Yi, Ke, Cormode, Graham, 2016. Quantiles over data streams : experimental comparisons, new analyses, and further improvements. The VLDB Journal, 25 (4), pp. 449-472
- Chakrabarti, Amit, Cormode, Graham, McGregor, Andrew, 2016. Robust lower bounds for communication and stream computation. Theory of Computing, 12, pp. 1-35
- Cohen, Edith, Cormode, Graham, Duffield, Nick, Lund, Carsten, 2016. On the tradeoff between stability and fit. ACM Transactions on Algorithms, 13 (1)
- Mirylenka, Katsiaryna, Cormode, Graham, Palpanas, Themis, Srivastava, Divesh, 2015. Conditional heavy hitters : detecting interesting correlations in data streams. The VLDB Journal, 24 (3), pp. 395-414
- Chakrabarti, Amit, Cormode, Graham, McGregor, Andrew, Thaler, Justin, 2014. Annotations in data streams. Transactions on Algorithms, 11 (1)
- Cormode, Graham, Jowhari, Hossein, 2014. A second look at counting triangles in graph streams. Theoretical Computer Science, 552, pp. 44-51
- Cormode, Graham, Firmani, Donatella, 2014. A unifying framework for l 0-sampling algorithms. Distributed and Parallel Databases, 32 (3), pp. 315-335
- Papadopoulos, Stavros, Cormode, Graham, Deligiannakis, Antonis, Garofalakis, Minos, 2014. Lightweight query authentication on streams. ACM Transactions on Database Systems, 39 (4)
- Cormode, Graham, Ma, Qiang, Muthukrishnan, S., Thompson, Brian, 2013. Socializing the h-index. Journal of Informetrics, 7 (3), pp. 718-721
- Cormode, Graham, Muthukrishnan, S., Yi, Ke, Zhang, Qin, 2012. Continuous sampling from distributed streams. Journal of the ACM, 59 (2)
- Cormode, Graham, Muthukrishnan, S., Yi, Ke, 2011. Algorithms for distributed functional monitoring. ACM Transactions on Algorithms, 7 (2), pp. 1-20
- Cormode, Graham, Srivastava, Divesh, Yu, Ting, Zhang, Qing, 2010. Anonymizing bipartite graph data using safe groupings. VLDB Journal, 19 (1), pp. 115-139
- Cormode, Graham, Garofalakis, Minos, 2010. Histograms and wavelets on probabilistic data. IEEE Transactions on Knowledge & Data Engineering, 22 (8), pp. 1142-1157
- Cormode, Graham, Hadjieleftheriou, Marios, 2010. Methods for finding frequent items in data streams. VLDB Journal - The International Journal on Very Large Data Bases, 19 (1), pp. 3-20
- Berinde, Radu, Indyk, Piotr, Cormode, Graham, Strauss, Martin J., 2010. Space-optimal heavy hitters with strong error bounds. ACM Transactions on Database Systems, 35 (4), pp. 1-28
- Cormode, Graham, Garofalakis, Minos, 2008. Approximate continuous querying over distributed streams. ACM Transactions on Database Systems, 33 (2), pp. 1-39
- Cormode, Graham, 2013. Summary data structures for massive data. In Bonizzoni, Paola; Brattka, Vasco; Benedikt, Löwe (eds.), The Nature of Computation. Logic, Algorithms, Applications, Springer Berlin Heidelberg, pp. 78-86
- Cormode, Graham, Dark, Jacques, Konrad, Christian, 2019. Independent sets in vertex-arrival streams. 46th International Colloquium on Automata, Languages and Programming, Patras, Greece, 8-12 July 2019, Published in Leibniz International Proceedings in Informatics (LIPIcs)
- Cormode, Graham, Veselý, Pavel, 2019. Streaming algorithms for bin packing and vector scheduling. Workshop on Approximation and Online Algorithms, Munich, Germany, 9-13 Sep 2019
- Chitnis, Rajesh, Cormode, Graham, 2019. Towards a theory of parameterized streaming algorithms. International Symposium on Parameterized and Exact Computation, Munich, Germany, 9-13 Sep 2019
- Cormode, Graham, Kulkarni, Tejas M., Srivastava, D., 2019. Answering range queries under local differential privacy. International Conference on Very Large Data Bases (VLDB), California, 26-30 Aug 2019
- Hickey, Christopher J. A., Cormode, Graham, 2019. Efficient interactive proofs for linear algebra. ISAAC 2019: The 30th International Symposium on Algorithms and Computation, Shanghai, China, 8-11 Dec 2019, Published in Proceedings of International Symposium on Algorithms and Computation (ISAAC), 2019
- Cormode, Graham, Dickens, Charlie, 2019. Iterative hessian sketch in input sparsity time. 33rd Conference on Neural Information Processing Systems NeurIPS 2019, Vancouver, Canada, 8-14 Dec 2019, Published in Proceedings of Beyond First Order Methods in ML
- Cormode, Graham, Hickey, Christopher J. A., 2018. Cheap checking for cloud computing : statistical analysis via annotated data streams. The 21st International Conference on Artificial Intelligence and Statistics, Playa Blanca, Lanzarote, Canary Islands, 9-11 Apr 2018, Published in Proceedings of the 21st International Conference on Artificial Intelligence and Statistics
- Zhang, Y., Tirthapura, S., Cormode, Graham, 2018. Learning graphical models from a distributed stream. International Conference on Data Engineering (ICDE), 2018, Paris, France, 16?19 Apr 2018
- Cormode, Graham, Jha, S., Kulkarni, Tejas M., Li, N., Srivastava, D., Wang, T., 2018. Privacy at scale : local differential privacy in practice. 2018 ACM SIGMOD/PODS, Houston, TX, USA, 10-15 Jun 2018, Published in ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 1655-1658
- Cormode, Graham, Hickey, Christopher J. A., 2018. You can check others' work more quickly than doing it yourself. 2018 International Conference on Data Engineering (ICDE), Paris, France, 16-18 Apr 2018
- Cormode, Graham, Dark, Jacques, Konrad, Christian, 2018. Approximating the Caro-Wei bound for independent sets in graph streams. International Symposium on Combinatorial Optimization, Marrakesh, Morocco, 11-13 Apr 2018, Published in Combinatorial Optimization. ISCO 2018
- Dickens, Charlie, Cormode, Graham, Woodruff, David P., 2018. Leveraging well-conditioned bases : streaming and distributed summaries in Minkowski p-norms. ICML : 2018 Thirty-fifth International Conference on Machine Learning, Stockholm, Sweden, 10-15 Jul 2018, Published in Proceedings of the 35th International Conference on Machine Learning, pp. 1243-1251
- Cormode, Graham, Kulkarni, Tejas M., Srivastava, D., 2018. Marginal release under local differential privacy. 2018 ACM SIGMOD/PODS, Houston, TX, USA, 10-15 Jun 2018, Published in SIGMOD '18 Proceedings of the 2018 International Conference on Management of Data, pp. 131-146
- Cormode, Graham, Kulkarni, Tejas M., Srivastava, D., 2018. Constrained private mechanisms for count data. 34th IEEE International Conference on Data Engineering, Paris, France, 16?19 Apr 2018, Published in IEEE Transactions on Knowledge and Data Engineering
- Cormode, Graham, Hickey, Christopher J. A., 2018. You Can Check Others' Work More Quickly Than Doing It Yourself. 2018 IEEE 34th International Conference on Data Engineering (ICDE), Paris, France, 16-19 April 2018, Published in Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018
- Cormode, Graham, Kulkarni, Tejas M., Srivastava, Divesh, 2018. Constrained Private Mechanisms for Count Data. 2018 IEEE 34th International Conference on Data Engineering (ICDE), Paris, France, 16-19 April 2018, Published in 2018 IEEE 34th International Conference on Data Engineering (ICDE), pp. 845-856
- Cormode, Graham, Dark, J., 2017. Fast sketch-based recovery of correlation outliers. 21st International Conference on Database Theory, Vienna, Austria, 26-29 Mar 2018, Published in Leibniz International Proceedings in Informatics (LIPIcs), pp. 13:1-13:19
- Cormode, Graham, Jowhari, Hossein, Monemizadeh, Morteza, Muthukrishnan, S., 2017. The sparse awakens : streaming algorithms for matching size estimation in sparse graphs. ESA 2017 ? The 25th Annual European Symposium on Algorithms, Vienna, Austria, 04-08 Sep 2017, Published in ALGO 2017
- Jorgensen, Zach, Yu, Ting, Cormode, Graham, 2016. Publishing attributed social graphs with formal privacy guarantees. ACM SIGMOD International Conference on Management of Data (SIGMOD), San Francisco, USA, 26 Jun - 1 Jul 2016, Published in SIGMOD '16 Proceedings of the 2016 International Conference on Management of Data, pp. 107-122
- Chitnis, Rajesh, Cormode, Graham, Esfandiari, Hossein, Hajiaghayi, Mohammad Taghi, McGregor, Andrew, Monemizadeh, Morteza, Vorotnikova, Sofya, 2016. Kernelization via sampling with applications to dynamic graph streams. ACM-SIAM Symposium on Discrete Algorithms (SODA) 2016, Arlington, Virginia, 10-12 Jan 2016
- Ahn, Kook-Jin, Cormode, Graham, Guha, Sudipto, McGregor, Andrew, Wirth, Anthony Ian, 2015. Correlation clustering in data streams. International Conference on Machine Learning, Lille, France, 6-11 Jul 2015, Published in Proceedings of the 32nd International Conference on Machine Learning
- He, Xi, Cormode, Graham, Machanavajjhala, Ashwin, Procopiuc, Cecilia, Srivastava, Divesh, 2015. DPT : differentially private trajectory synthesis using hierarchical reference systems. 41st International Conference on Very Large Data Bases, Hawaii, 31 Aug - 4 Sep 2015, Published in Proceedings of the VLDB Endowment, pp. 1154-1165
- Zhang, Jun, Cormode, Graham, Procopiuc, Cecilia, Srivastava, Divesh, Xiao, Xiaokui, 2015. Private release of graph statistics using ladder functions. ACM SIGMOD 2015, Melbourne, Australia, 1-4 Jun 2015, Published in SIGMOD '15 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 731-745
- Chitnis, Rajesh, Cormode, Graham, Esfandiari, Hossein, Hajiaghayi, Mohammad Taghi, Monemizadeh, Morteza, 2015. New streaming algorithms for parameterized maximal matching & beyond. 27th ACM symposium on Parallelism in Algorithms and Architectures, Portland, Oregon, USA, 13-15 Jun 2015, Published in Proceedings of the 27th ACM symposium on Parallelism in Algorithms and Architectures, pp. 56-58
- Jorgensen, Zach, Yu, Ting, Cormode, Graham, 2015. Conservative or liberal? : personalized differential privacy. 31st IEEE International Conference on Data Engineering (2015), Seoul, South Korea, 13-17 Apr 2015
- Chakrabarti, Amit, Cormode, Graham, McGregor, Andrew, Thaler, Justin, Venkatasubramanian, Suresh, 2015. Verifiable stream computation and Arthur-Merlin communication. 30th Conference on Computational Complexity (CCC?15), Portland, Oregon, 17-19 Jun 2015, Published in Leibniz international proceedings in informatics (LIPIcs), pp. 217-243
- Chitnis, Rajesh, Cormode, Graham, Hajiaghayi, Mohammad Taghi, Monezimadeh, Morteza, 2015. Parameterized streaming : maximal matching and vertex cover. ACM SIAM Symposium on Discrete Algorithms (SODA), San Diego, USA, 4-6 Jan 2015, Published in Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1234-1251
- Cormode, Graham, Duffield, Nick, 2014. Sampling for big data. 20th ACM SIGKDD international conference on Knowledge discovery and data mining, New York, USA, 24-27 Aug 2014, pp. 1975-1975
- Zhang, Jun, Cormode, Graham, Procopiuc, Cecilia, Srivastava, Divesh, Xiao, Xiaokui, 2014. Privbayes : private data release via Bayesian networks. ACM SIGMOD Conference, Salt Lake City, Utah, 22-27 Jun 2014, Published in Proceedings of the 2014 ACM SIGMOD international conference on Management of data, pp. 1423-1434
- Cormode, Graham, Garofalakis, Minos, 2009. Histograms and wavelets on probabilistic data. IEEE 25th International Conference on Data Engineering, 2009. ICDE '09, Shanghai, 29 Mar - 9-Apr 2009, Published in IEEE 25th International Conference onData Engineering, 2009. ICDE '09, pp. 293-304
- Chakrabarti, Amit, Cormode, Graham, McGregor, Andrew, 2008. Robust lower bounds for communication and stream computation. Fortieth annual ACM symposium on Theory of computing, Published in Proceedings of the fortieth annual ACM symposium on Theory of computing, pp. 641-650
- Cormode, Graham, Paterson, Michael S., Sahinalp, Suleyman Cenk, Vishkin, Uzi, 1999. Communication complexity of document exchange. University of Warwick. Department of Computer Science
| Title | Funder | Award start | Award end |
|---|---|---|---|
| ACE Studentship Proposal: Cybersecurity and Local Differential Privacy | GCHQ | 30 Sep 2019 | 29 Mar 2023 |
| Adams Prize | University of Cambridge | 13 Mar 2017 | 12 Mar 2022 |
| Small Summaries for Big Data (SSBD) | European Research Council | 01 Apr 2015 | 31 Mar 2021 |
| The Cooperative Car | EPSRC | 01 Dec 2015 | 28 Feb 2021 |
| The Cooperative Car - developing strategies to encourage behaviour modifications. | Jaguar Land Rover | 01 Dec 2015 | 30 Nov 2020 |
| Alan Turing Institute Research Fellowship for Dr Nathaniel Fijalkow | Alan Turing Institute | 03 Jan 2017 | 02 Jan 2020 |
| Sketching Algorithms for Massive Graphs and Matrices | Microsoft Research Limited | 05 Oct 2015 | 04 Oct 2019 |
| Royal Society Wolfson Research Merit Award - Small Summaries for Big Data | Royal Society | 01 Aug 2014 | 31 Jul 2019 |
| Scalable Regression: Tools and Techniques | Alan Turing Institute | 01 Nov 2018 | 31 May 2019 |
| ComPaTrIoTs Research Hub | EPSRC | 29 Feb 2016 | 30 Jan 2019 |
| Synthetic People in a Real World | AT&T Labs Research | 01 Jan 2015 | 31 Dec 2018 |
| Doing Anonymization Practically, Privately, Effectively and Reusably - MC CIG Bid by Prof G Cormode | European Commission | 01 Jan 2014 | 31 Dec 2017 |
| Smart Sketches for Modeling Massive Web Data | Yahoo Labs | 01 Jul 2013 | 31 Dec 2015 |
| Extension to DIMAP - The centre for discrete mathematics and its applications | EPSRC | 26 Mar 2013 | 25 Mar 2014 |