Is privacy privacy? von Nissim, Kobbi, Wood, Alexandra

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Efficient Set Intersection with Simulation-Based Security von Freedman, Michael J., Hazay, Carmit, Nissim, Kobbi, Pinkas, Benny

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Calibrating Noise to Sensitivity in Private Data Analysis von Dwork, Cynthia, McSherry, Frank, Nissim, Kobbi, Smith, Adam

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Theory of Cryptography: 19th International Conference, TCC 2021, Raleigh, NC, USA, November 8-11, 2021, Proceedings, Part I von Nissim, Kobbi, Waters, Brent

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Theory of Cryptography: 19th International Conference, TCC 2021, Raleigh, NC, USA, November 8-11, 2021, Proceedings, Part II von Nissim, Kobbi, Waters, Brent

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Theory of Cryptography: 19th International Conference, TCC 2021, Raleigh, NC, USA, November 8-11, 2021, Proceedings, Part III von Nissim, Kobbi, Waters, Brent

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Learning Privately with Labeled and Unlabeled Examples von Beimel, Amos, Nissim, Kobbi, Stemmer, Uri

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Towards formalizing the GDPR’s notion of singling out von Cohen, Aloni, Nissim, Kobbi

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The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model von Nissim, Kobbi, Yan, Chao

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Efficient Set Operations in the Presence of Malicious Adversaries von Hazay, Carmit, Nissim, Kobbi

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Linear Program Reconstruction in Practice von Cohen, Aloni, Nissim, Kobbi

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Concentration Bounds for High Sensitivity Functions Through Differential Privacy von Stemmer, Uri, Nissim, Kobbi

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Efficient Private Matching and Set Intersection von Freedman, Michael J., Nissim, Kobbi, Pinkas, Benny

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On Privacy in the Age of COVID-19 von Dwork, Cynthia, Karr, Alan, Nissim, Kobbi, Vilhuber, Lars

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Towards formalizing the GDPR's notion of singling out (vol 117, pg 8344, 2020) von Cohen, Aloni, Nissim, Kobbi

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Firmato: A novel firewall management toolkit von BARTAL, Yair, MAYER, Alain, NISSIM, Kobbi, WOOL, Avishai

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Is privacy privacy? von Nissim, Kobbi, Wood, Alexandra

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Practical Locally Private Heavy Hitters von Bassily, Raef, Nissim, Kobbi, Stemmer, Uri, Thakurta, Abhradeep

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Is privacy privacy? von Wood, Alexandra, Nissim, Kobbi

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Calibrating Noise to Sensitivity in Private Data Analysis von Dwork, Cynthia, McSherry, Frank, Nissim, Kobbi, Smith, Adam

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