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239 results

239 results

2020

Benny Applebaum, Amos Beimel, Oded Nir, and Naty Peter. 2020. “Better Secret-Sharing via Robust Conditional Disclosure of Secrets”. In 52nd ACM Symposium on Theory of Computing (To Appear - STOC 2020)
Benny Applebaum, Amos Beimel, Oded Nir, and Naty Peter. 2020. “Better Secret-Sharing via Robust Conditional Disclosure of Secrets”. In 52nd ACM Symposium on Theory of Computing (To Appear - STOC 2020)
Victor Balcer and Albert Cheu. 2020. “Separating Local & Shuffled Differential Privacy via Histograms”. In Information-Theoretic Cryptography (To Appear - ITC 2020)
Victor Balcer and Albert Cheu. 2020. “Separating Local & Shuffled Differential Privacy via Histograms”. In Information-Theoretic Cryptography (To Appear - ITC 2020)
Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, and Uri Stemmer. 2020. “The Power of Synergy in Differential Privacy: Combining a Small Curator With Local Randomizers”. In Information-Theoretic Cryptography (To Appear - ITC 2020)
Amos Beimel, Aleksandra Korolova, Kobbi Nissim, Or Sheffet, and Uri Stemmer. 2020. “The Power of Synergy in Differential Privacy: Combining a Small Curator With Local Randomizers”. In Information-Theoretic Cryptography (To Appear - ITC 2020)
Owen Arden, Anitha Gollamudi, Ethan Cecchetti, Stephen Chong, and Andrew C. Myers. 2020. “A Calculus for Flow-Limited Authorization”. Journal of Computer Security
Owen Arden, Anitha Gollamudi, Ethan Cecchetti, Stephen Chong, and Andrew C. Myers. 2020. “A Calculus for Flow-Limited Authorization”. Journal of Computer Security
Yiling Chen, Or Sheffet, and Salil Vadhan. 2020. “Privacy Games”. ACM Transactions on Economics and Computation, 8, 2, Pp. Article 9
Yiling Chen, Or Sheffet, and Salil Vadhan. 2020. “Privacy Games”. ACM Transactions on Economics and Computation, 8, 2, Pp. Article 9
Michael Fine. 2020. “Certifiably Accurate Private Data Release With Generative Adversarial Networks”
Michael Fine. 2020. “Certifiably Accurate Private Data Release With Generative Adversarial Networks”
The OpenDP Team. 2020. “The OpenDP White Paper”. In
The OpenDP Team. 2020. “The OpenDP White Paper”. In
Victor Balcer and Albert Cheu. 2020. “Separating Local & Shuffled Differential Privacy via Histograms”. In In First Information-Theoretic Cryptography Conference (ITC)
Victor Balcer and Albert Cheu. 2020. “Separating Local & Shuffled Differential Privacy via Histograms”. In In First Information-Theoretic Cryptography Conference (ITC)
Aloni Cohen and Kobbi Nissim. 2020. “Towards Formalizing the GDPR’s Notion of Singling Out”. Proceedings of the National Academy of Sciences
Aloni Cohen and Kobbi Nissim. 2020. “Towards Formalizing the GDPR’s Notion of Singling Out”. Proceedings of the National Academy of Sciences
Micah Altman, Kobbi Nissim, Salil Vadhan, and Alexandra Wood. 2020. Using Administrative Data for Research and Evidence-Based Policy - A Handbook, Pp. 173-242. Cambridge: Abdul Latif Jameel Poverty Action Lab (J-PAL)
Micah Altman, Kobbi Nissim, Salil Vadhan, and Alexandra Wood. 2020. Using Administrative Data for Research and Evidence-Based Policy - A Handbook, Pp. 173-242. Cambridge: Abdul Latif Jameel Poverty Action Lab (J-PAL)
Aloni Cohen and Kobbi Nissim. 2020. “Towards Formalizing the GDPR’s Notion of Singling Out”. The Proceedings of the National Academy of Sciences (PNAS), 117, 15, Pp. 8344-52
Aloni Cohen and Kobbi Nissim. 2020. “Towards Formalizing the GDPR’s Notion of Singling Out”. The Proceedings of the National Academy of Sciences (PNAS), 117, 15, Pp. 8344-52

2019

Kobbi Nissim and Uri Stemmer. 2019. “Concentration Bounds for High Sensitivity Functions Through Differential Privacy”. Journal of Privacy and Confidentiality, 9, 1
Kobbi Nissim and Uri Stemmer. 2019. “Concentration Bounds for High Sensitivity Functions Through Differential Privacy”. Journal of Privacy and Confidentiality, 9, 1