SoK: Differential privacies von Desfontaines, Damien, Pejó, Balázs

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Generic algorithms for halting problem and optimal machines revisited von Bienvenu, Laurent, Desfontaines, Damien, Shen, Alexander

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DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection von Swanberg, Marika, Desfontaines, Damien, Haney, Samuel

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Impacts of social distancing policies on mobility and COVID-19 case growth in the US von Wellenius, Gregory A., Vispute, Swapnil, Espinosa, Valeria, Fabrikant, Alex, Tsai, Thomas C., Hennessy, Jonathan, Dai, Andrew, Williams, Brian, Gadepalli, Krishna, Boulanger, Adam, Pearce, Adam, Kamath, Chaitanya, Schlosberg, Arran, Bendebury, Catherine, Mandayam, Chinmoy, Stanton, Charlotte, Bavadekar, Shailesh, Pluntke, Christopher, Desfontaines, Damien, Jacobson, Benjamin H., Armstrong, Zan, Gipson, Bryant, Wilson, Royce, Widdowson, Andrew, Chou, Katherine, Oplinger, Andrew, Shekel, Tomer, Jha, Ashish K., Gabrilovich, Evgeniy

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Differentially private partition selection von Desfontaines, Damien, Voss, James, Gipson, Bryant, Mandayam, Chinmoy

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Cardinality Estimators do not Preserve Privacy von Desfontaines, Damien, Lochbihler, Andreas, Basin, David

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Differentially Private SQL with Bounded User Contribution von Wilson, Royce J, Zhang, Celia Yuxin, Lam, William, Desfontaines, Damien, Simmons-Marengo, Daniel, Gipson, Bryant

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KHyperLogLog: Estimating Reidentifiability and Joinability of Large Data at Scale von Chia, Pern Hui, Desfontaines, Damien, Perera, Irippuge Milinda, Simmons-Marengo, Daniel, Li, Chao, Day, Wei-Yen, Wang, Qiushi, Guevara, Miguel

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DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection von Swanberg, Marika, Desfontaines, Damien, Haney, Samuel

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SoK: Differential Privacies von Desfontaines, Damien, Pejó, Balázs

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What Percentage of Programs Halt? von Bienvenu, Laurent, Desfontaines, Damien, Shen, Alexander

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SoK: Differential Privacies von Desfontaines, Damien, Pejó, Balázs

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Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers von Haney, Samuel, Desfontaines, Damien, Hartman, Luke, Shrestha, Ruchit, Hay, Michael

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DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection von Swanberg, Marika, Desfontaines, Damien, Haney, Samuel

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Differentially private partition selection von Desfontaines, Damien, Voss, James, Gipson, Bryant, Mandayam, Chinmoy

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Cardinality Estimators do not Preserve Privacy von Desfontaines, Damien, Lochbihler, Andreas, Basin, David

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Publishing Wikipedia usage data with strong privacy guarantees von Adeleye, Temilola, Berghel, Skye, Desfontaines, Damien, Hay, Michael, Johnson, Isaac, Lemoisson, Cléo, Machanavajjhala, Ashwin, Magerlein, Tom, Modena, Gabriele, Pujol, David, Simmons-Marengo, Daniel, Triedman, Hal

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Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy von Berghel, Skye, Bohannon, Philip, Desfontaines, Damien, Estes, Charles, Haney, Sam, Hartman, Luke, Hay, Michael, Machanavajjhala, Ashwin, Magerlein, Tom, Miklau, Gerome, Pai, Amritha, Sexton, William, Shrestha, Ruchit

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Differential privacy with partial knowledge von Desfontaines, Damien, Mohammadi, Esfandiar, Krahmer, Elisabeth, Basin, David

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Universality and Almost Decidability von Calude, Cristian S, Desfontaines, Damien

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