| Counting triangles in massive graphs with MapReduce TG Kolda, A Pinar, T Plantenga, C Seshadhri, C Task SIAM Journal on Scientific Computing 36 (5), S48-S77, 2014 | 100 | 2014 |
| A guide to differential privacy theory in social network analysis C Task, C Clifton 2012 IEEE/ACM International Conference on Advances in Social Networks …, 2012 | 93 | 2012 |
| What should we protect? Defining differential privacy for social network analysis C Task, C Clifton State of the Art Applications of Social Network Analysis, 139-161, 2014 | 29 | 2014 |
| An uncertainty principle is a price of privacy-preserving microdata J Abowd, R Ashmead, R Cumings-Menon, S Garfinkel, D Kifer, P Leclerc, ... Advances in neural information processing systems 34, 11883-11895, 2021 | 17 | 2021 |
| Toward defining a domain complexity measure across domains K Doctor, C Task, E Kildebeck, M Kejriwal, L Holder, R Leong arXiv preprint arXiv:2303.04141, 2023 | 12 | 2023 |
| Differentially private significance testing on paired-sample data C Task, C Clifton Proceedings of the 2016 SIAM International Conference on Data Mining, 153-161, 2016 | 12 | 2016 |
| Challenge design and lessons learned from the 2018 differential privacy challenges D Ridgeway, MF Theofanos, TW Manley, C Task NIST technical note 2151, 2021 | 10 | 2021 |
| Dynamic goal recognition using windowed action sequences D Menager, D Choi, MW Floyd, C Task, DW Aha Workshops at the thirty-first AAAI conference on artificial intelligence, 2017 | 5 | 2017 |
| A guide to differential privacy theory in social network analysis. In 2012 IEEE C Task, C Clifton ACM International Conference on Advances in Social Networks Analysis and …, 2012 | 5 | 2012 |
| Crisis collaborations: Challenges for safe data sharing with differential privacy D Ridgeway, C Task, G Howarth, D Van Ballegooijen NIST (PSCR 2020), 2020 | 4 | 2020 |
| Privacy-preserving social network analysis C Task Purdue University, 2015 | 4 | 2015 |
| An illustrated primer in differential privacy C Task XRDS: Crossroads, The ACM Magazine for Students 20 (1), 53-57, 2013 | 4 | 2013 |
| Folded optimization for end-to-end model-based learning J Kotary, MH Dinh, F Fioretto, J Kotary, V Di Vito, F Fioretto, C Tran, ... International Joint Conference on Artificial Intelligence (IJCAI) 35, 179-225, 2023 | 3 | 2023 |
| Visual performance-based image enhancement methodology: an investigation of three Retinex algorithms KE Neriani, TJ Herbranson, AR Pinkus, CM Task, HL Task Enhanced and Synthetic Vision 2005 5802, 92-101, 2005 | 2 | 2005 |
| Diverse Community Data for Benchmarking Data Privacy Algorithms A Sen, C Task, D Kapur, G Howarth, K Bhagat Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Privacy and bias analysis of disclosure avoidance systems K Zhu, F Fioretto, P Van Hentenryck, S Das, C Task arXiv preprint arXiv:2301.12204, 2023 | 1 | 2023 |
| The NIST IrisDaily Dataset: Description and Initial Analysis JA Matey Technical Note (NIST TN), National Institute of Standards and Technology …, 2021 | 1 | 2021 |
| An Illustrated Situation Calculus Abstraction for Iterative Explanatory Diagnosis C Task, M Wilson, M Molineaux, DW Aha AI Communications, 2018 | 1 | 2018 |
| Keeping Your Little Back Shop M Byrne-Evans, C Task XRDS: Crossroads, The ACM Magazine for Students 20 (1), 9-9, 2013 | 1 | 2013 |
| Finding ε and δ of Traditional Disclosure Control Systems S Das, K Zhu, C Task, P Van Hentenryck, F Fioretto Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22013 …, 2024 | | 2024 |
