Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Daniel Kifer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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SaTC: CORE: Small: New Techniques for Optimizing Accuracy in Differential Privacy Applications
10/1/19 → 9/30/23
Project: Research project
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SaTC: CORE: Medium: Developing for Differential Privacy with Formal Methods and Counterexamples
7/1/17 → 6/30/23
Project: Research project
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EAGER: Toward Transparency in Public Policy via Privacy-Enhanced Social Flow Analysis with Applications to Ecological Networks and Crime
Li, Z. Z., Antohi Graif, C. & Kifer, D.
9/1/15 → 8/31/18
Project: Research project
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II-NEW: INSpiRE: Infrastructure for heterogeNeous System ResEarch
Das, C. C., Sivasubramaniam, A., Narayanan, V. V., Kandemir, M. & Kifer, D.
10/1/12 → 9/30/15
Project: Research project
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TWC SBES: Medium: Utility for Private Data Sharing in Social Science
Kifer, D., Matthews, S. A. & Yang, T. C.
9/1/12 → 8/31/18
Project: Research project
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Answering Private Linear Queries Adaptively using the Common Mechanism
Xiao, Y., Wang, G., Zhang, D. & Kifer, D., 2023, In: Proceedings of the VLDB Endowment. 16, 8, p. 1883-1896 14 p.Research output: Contribution to journal › Conference article › peer-review
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Backpropagation-Free Deep Learning with Recursive Local Representation Alignment
Ororbia, A. G., Mali, A., Kifer, D. & Lee Giles, C., Jun 27 2023, AAAI-23 Technical Tracks 8. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI press, p. 9327-9335 9 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Differentiable modelling to unify machine learning and physical models for geosciences
Shen, C., Appling, A. P., Gentine, P., Bandai, T., Gupta, H., Tartakovsky, A., Baity-Jesi, M., Fenicia, F., Kifer, D., Li, L., Liu, X., Ren, W., Zheng, Y., Harman, C. J., Clark, M., Farthing, M., Feng, D., Kumar, P., Aboelyazeed, D., Rahmani, F., & 11 others, Aug 2023, In: Nature Reviews Earth and Environment. 4, 8, p. 552-567 16 p.Research output: Contribution to journal › Article › peer-review
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Free gap estimates from the exponential mechanism, sparse vector, noisy max and related algorithms
Ding, Z., Wang, Y., Xiao, Y., Wang, G., Zhang, D. & Kifer, D., Jan 2023, In: VLDB Journal. 32, 1, p. 23-48 26 p.Research output: Contribution to journal › Article › peer-review
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Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes
Borate, P., Rivière, J., Marone, C., Mali, A., Kifer, D. & Shokouhi, P., Dec 2023, In: Nature communications. 14, 1, 3693.Research output: Contribution to journal › Article › peer-review
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