Resultados de búsqueda - Harrison, Charlie

Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High $\varepsilon$ Regime por Harrison, Charlie, Manurangsi, Pasin

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Exact zCDP Characterizations for Fundamental Differentially Private Mechanisms por Harrison, Charlie, Manurangsi, Pasin

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Optimal partition selection with Rényi differential privacy por Harrison, Charlie, Manurangsi, Pasin

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Tight Lower Bounds for Differentially Private Continual Counting por Harrison, Charlie, Leeman, Ethan

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Differentially Private Ad Conversion Measurement por Delaney, John, Ghazi, Badih, Harrison, Charlie, Ilvento, Christina, Kumar, Ravi, Manurangsi, Pasin, Pal, Martin, Prabhakar, Karthik, Raykova, Mariana

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Balls-and-Bins Sampling for DP-SGD por Chua, Lynn, Ghazi, Badih, Harrison, Charlie, Leeman, Ethan, Kamath, Pritish, Kumar, Ravi, Manurangsi, Pasin, Sinha, Amer, Zhang, Chiyuan

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On the Differential Privacy and Interactivity of Privacy Sandbox Reports por Ghazi, Badih, Harrison, Charlie, Hosabettu, Arpana, Kamath, Pritish, Knop, Alexander, Kumar, Ravi, Leeman, Ethan, Manurangsi, Pasin, Raykova, Mariana, Sahu, Vikas, Schoppmann, Phillipp

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Training Differentially Private Ad Prediction Models with Semi-Sensitive Features por Chua, Lynn, Cui, Qiliang, Ghazi, Badih, Harrison, Charlie, Kamath, Pritish, Krichene, Walid, Kumar, Ravi, Manurangsi, Pasin, Narra, Krishna Giri, Sinha, Amer, Varadarajan, Avinash, Zhang, Chiyuan

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Traceable Trust for action-ready artificial intelligence in bioscience por Xin, Huayu, Cai, Yizhi, Suresh, Mukilan Deivarajan, Farrell, Gavin Michael, Gajda, Iwona, Harrison, Charlie, Houghton, Conor, Lagator, Mato, Lu, Yang, Portillo, Virginia, Zwiggelaar, Reyer, Lobentanzer, Sebastian

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CALLIOPE: Private Insights into AI Use, Without Embeddings por Cohen, Edith, Doroshenko, Vadym, Ghazi, Badih, Harrison, Charlie, Kamath, Pritish, Knop, Alexander, Kumar, Ravi, Leeman, Ethan, Manurangsi, Pasin, Pravilov, Mikhail, Sealfon, Adam, Sushko, Yurii, Swanberg, Marika, Zhang, Chiyuan

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