Research output per year
Research output per year
Personal profile
About Me
I am a Senior Lecturer at the Faculty of Engineering at Bar-Ilan University, as well as a member of the Center for Research in Applied Cryptography and Cyber Security.
My research interests lie in theoretical computer science, machine learning in general and clustering in particular, algorithmic game theory and privacy. Differential privacy has been the focus of my research in last years.
Education/Academic qualification
מדעי המחשב
Aug 2008 → Aug 2013
מדעי המחשב; מתמטיקה
Oct 2004 → Jul 2006
מדעי המחשב; מתמטיקה, Bachelor
Oct 2001 → Jul 2004
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem
Mahpud, B. & Sheffet, O., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Transfer Learning In Differential Privacy's Hybrid-Model
Kohen, R. & Sheffet, O., 2022, In: Proceedings of Machine Learning Research. 162, p. 11413-11429 17 p.Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Differentially private approximations of a convex hull in low dimensions
Gao, Y. & Sheffet, O., 1 Jul 2021, 2nd Conference on Information-Theoretic Cryptography, ITC 2021. Tessaro, S. (ed.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 18. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 199).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
Kamath, G., Sheffet, O., Singhal, V. & Ullman, J., 2 Feb 2020, 2020 Information Theory and Applications Workshop, ITA 2020. Institute of Electrical and Electronics Engineers Inc., 9244945. (2020 Information Theory and Applications Workshop, ITA 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Scopus citations -
Locally private mean estimation: Z-test and Tight Confidence Intervals
Gaboardi, M., Rogers, R. & Sheffet, O., 2020.Research output: Contribution to conference › Paper › peer-review
10 Scopus citations
Prizes
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AIJ Prominent Paper Award
Haber, Simcha (Simi) (Recipient), Sheffet, Or (Recipient), Boutilier, Craig (Recipient), Caragiannis, Ioannis (Recipient), Lu, Tyler (Recipient) & Procaccia, Ariel D. (Recipient), 2022
Prize