| Google COVID-19 community mobility reports: anonymization process description (version 1.1) A Aktay, S Bavadekar, G Cossoul, J Davis, D Desfontaines, A Fabrikant, ... arXiv preprint arXiv:2004.04145, 2020 | 266 | 2020 |
| Impacts of social distancing policies on mobility and COVID-19 case growth in the US GA Wellenius, S Vispute, V Espinosa, A Fabrikant, TC Tsai, J Hennessy, ... Nature communications 12 (1), 3118, 2021 | 162 | 2021 |
| Differentially private sql with bounded user contribution RJ Wilson, CY Zhang, W Lam, D Desfontaines, D Simmons-Marengo, ... arXiv preprint arXiv:1909.01917, 2019 | 156 | 2019 |
| Sok: differential privacies D Desfontaines, B Pejó arXiv preprint arXiv:1906.01337, 2019 | 142 | 2019 |
| Impacts of state-level policies on social distancing in the United States using aggregated mobility data during the COVID-19 pandemic GA Wellenius, S Vispute, V Espinosa, A Fabrikant, TC Tsai, J Hennessy, ... | 64 | 2020 |
| Cardinality estimators do not preserve privacy D Desfontaines, A Lochbihler, D Basin arXiv preprint arXiv:1808.05879, 2018 | 59 | 2018 |
| A general purpose transpiler for fully homomorphic encryption S Gorantala, R Springer, S Purser-Haskell, W Lam, R Wilson, A Ali, ... arXiv preprint arXiv:2106.07893, 2021 | 52 | 2021 |
| A list of real-world uses of differential privacy D Desfontaines Ted is writing things, 2021 | 32 | 2021 |
| Google COVID-19 community mobility reports: Anonymization process description (version 1.0). ArXiv A Aktay, S Bavadekar, G Cossoul, J Davis, D Desfontaines, A Fabrikant, ... arXiv preprint arXiv:2004.04145 8, 2020 | 31 | 2020 |
| Challenges towards the next frontier in privacy R Cummings, D Desfontaines, D Evans, R Geambasu, M Jagielski, ... arXiv preprint arXiv:2304.06929 1, 2023 | 30 | 2023 |
| Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers S Haney, D Desfontaines, L Hartman, R Shrestha, M Hay arXiv preprint arXiv:2207.13793, 2022 | 22 | 2022 |
| KHyperLogLog: Estimating reidentifiability and joinability of large data at scale PH Chia, D Desfontaines, IM Perera, D Simmons-Marengo, C Li, WY Day, ... 2019 IEEE Symposium on Security and Privacy (SP), 350-364, 2019 | 20 | 2019 |
| Google COVID-19 search trends symptoms dataset: Anonymization process description (version 1.0) S Bavadekar, A Dai, J Davis, D Desfontaines, I Eckstein, K Everett, ... arXiv preprint arXiv:2009.01265, 2020 | 19 | 2020 |
| Differentially private partition selection D Desfontaines, J Voss, B Gipson, C Mandayam arXiv preprint arXiv:2006.03684, 2020 | 18 | 2020 |
| Tumult analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy S Berghel, P Bohannon, D Desfontaines, C Estes, S Haney, L Hartman, ... arXiv preprint arXiv:2212.04133, 2022 | 16 | 2022 |
| Statistical inference is not a privacy violation M Bun, D Desfontaines, C Dwork, M Naor, K Nissim, A Roth, A Smith, ... Posted June 3, 2021, 2021 | 15 | 2021 |
| Google COVID-19 community mobility reports: Anonymization process description A Aktay, S Bavadekar, G Cossoul, J Davis, D Desfontaines, A Fabrikant Preprint at arvix, 2020 | 14 | 2020 |
| Differential privacy with partial knowledge D Desfontaines, E Mohammadi, E Krahmer, D Basin arXiv preprint arXiv:1905.00650, 2019 | 12 | 2019 |
| Guide to differential privacy modifications: a taxonomy of variants and extensions B Pejó, D Desfontaines Springer Nature, 2022 | 11 | 2022 |
| Generic algorithms for halting problem and optimal machines revisited L Bienvenu, D Desfontaines, A Shen Logical Methods in Computer Science 12, 2016 | 11 | 2016 |
