Personal profile
About Me
I am a faculty member in the Department of Computer Science at Bar-Ilan University. My primary research interests lie in Data Privacy, particularly at the intersections with Cryptography and Machine Learning.
I joined Bar-Ilan's faculty after spending almost three years as a Postdoctoral Researcher in the Department of Computer Science at Georgetown University, hosted by Prof. Kobbi Nissim.
I have completed my Ph.D. in the School of Computer Science at Tel-Aviv University, where I was fortunate to be advised by Prof. Iftach Haitner. I was also an intern researcher at Google Research - Israel, where I was fortunate to work with Prof. Edith Cohen, Prof. Haim Kaplan, Prof. Yishay Mansour and Dr. Uri Stemmer.
Research
- Fields of Interest
- Data Privacy
- Machine Learning
- Cryptography
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Collaborations and top research areas from the last five years
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Fair Coin Flipping: Tighter Analysis and the Many-Party Case
Buchbinder, N., Haitner, I., Levi, N. & Tsfadia, E., Jan 2026, In: Journal of Cryptology. 39, 1, 4.Research output: Contribution to journal › Article › peer-review
Open Access -
Computationally Differentially Private Inner-Product Protocols Imply Oblivious Transfer
Haitner, I., Mazor, N., Silbak, J., Tsfadia, E. & Yan, C., 2025, Advances in Cryptology – CRYPTO 2025 - 45th Annual International Cryptology Conference, Proceedings. Tauman Kalai, Y. & Kamara, S. F. (eds.). Springer Science and Business Media Deutschland GmbH, p. 174-206 33 p. (Lecture Notes in Computer Science; vol. 16003 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Data Reconstruction: When You See It and When You Don’t
Cohen, E., Kaplan, H., Mansour, Y., Moran, S., Nissim, K., Stemmer, U. & Tsfadia, E., 11 Feb 2025, 16th Innovations in Theoretical Computer Science Conference, ITCS 2025. Meka, R. (ed.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 39. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 325).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
On Differentially Private Subspace Estimation in a Distribution-Free Setting
Tsfadia, E., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes
Peter, N., Tsfadia, E. & Ullman, J., 2024, In: Proceedings of Machine Learning Research. 247, p. 4207-4239 33 p.Research output: Contribution to journal › Conference article › peer-review
5 Scopus citations