Daniel Kifer, Ph.D.
Affiliations: | 2006 | Cornell University, Ithaca, NY, United States |
Area:
Computer ScienceGoogle:
"Daniel Kifer"
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Publications
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| Ororbia A, Mali A, Giles CL, et al. (2020) Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations. Ieee Transactions On Neural Networks and Learning Systems |
| Wang H, Yao H, Kifer D, et al. (2019) Non-Stationary Model for Crime Rate Inference Using Modern Urban Data. Ieee Transactions On Big Data. 5: 180-194 |
| Wang H, Tang X, Kuo Y, et al. (2019) A Simple Baseline for Travel Time Estimation using Large-scale Trip Data Acm Transactions On Intelligent Systems and Technology. 10: 19 |
| Shen C, Laloy E, Elshorbagy A, et al. (2018) HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community Hydrology and Earth System Sciences. 22: 5639-5656 |
| Shen C, Laloy E, Albert A, et al. (2018) HESS Opinions: Deep learning as a promising avenue toward knowledge discovery in water sciences Hydrology and Earth System Sciences Discussions. 1-21 |
| Kifer D. (2015) On estimating the swapping rate for categorical data Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 2015: 557-566 |
| Lee J, Wang Y, Kifer D. (2015) Maximum likelihood postprocessing for differential privacy under consistency constraints Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 2015: 635-644 |
| Lin BR, Kifer D. (2015) Information measures in statistical privacy and data processing applications Acm Transactions On Knowledge Discovery From Data. 9 |
| Machanavajjhala A, Kifer D. (2015) Designing statistical privacy for your data Communications of the Acm. 58: 58-67 |
| Kifer D. (2015) Privacy and the price of data Proceedings - Symposium On Logic in Computer Science. 2015: 16 |