PeopleofSuperintelligence

Researcher

Eyal Kushilevitz

Eyal Kushilevitz is a computer scientist whose work connects cryptography and privacy with machine learning. He earned degrees in mathematics and computer science at Bar-Ilan University and the Technion from 1986 to 1991, and coauthored Communication Complexity and a paper on learning algorithms in 1996. He coauthored a paper on private information retrieval in 2000 and became a fellow of the International Association for Cryptologic Research in 2014. His 2019 paper Cryptographic Sensing asked whether a contrived training set could make labeled examples useless without knowing why they were chosen; he coauthored FALCON for private deep learning in 2020. Since October 2025, he is a professor and dean of the Taub Faculty of Computer Science at the Technion, with interests in cryptography, privacy and machine learning.

Now at
Technion
Works
282
Citations
15,500
h-index
61
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1986–1991

    Degrees at Bar-Ilan and Technion

    He earns a BSc in Mathematics and Computer Science from Bar-Ilan University in 1986, an MSc in Computer Science under Oded Goldreich at the Technion in 1989, and a PhD in Computer Science under Benny Chor at the Technion in 1991.

  2. 1996

    Communication Complexity

    With Noam Nisan, he coauthors Communication Complexity, published in 1996. Its opening chapter describes tasks that use information distributed among different parts of a system, including processors, parties or players.

  3. 1996

    A composition theorem for learning

    In 1996, he coauthors “A Composition Theorem for Learning Algorithms with Applications to Geometric Concept Classes.” It presents a way to combine learning algorithms for simple classes into an algorithm for a more complex class.

  4. 2000

    Private information retrieval

    With Yael Gertner, Yuval Ishai and Tal Malkin, he coauthors “Protecting Data Privacy in Private Information Retrieval Schemes” in 2000. It introduces symmetrically-private information retrieval, which protects the privacy of the data and the user.

  5. 2014

    An IACR fellowship

    In 2014, he becomes a fellow of the International Association for Cryptologic Research (IACR).

  6. 2019

    Cryptographic sensing

    With Yuval Ishai, Rafail Ostrovsky and Amit Sahai, he coauthors Cryptographic Sensing in 2019. The paper asks whether a contrived training set can make labeled examples useless without the reasoning that led to their selection.

  7. 2020

    Private deep learning with FALCON

    With Sameer Wagh, Shruti Tople, Fabrice Benhamouda, Prateek Mittal and Tal Rabin, he coauthors FALCON in 2020. It is an end-to-end three-party protocol for private training and inference of large machine-learning models.

  8. Since October 2025

    Dean of the Taub Faculty

    In October 2025, he takes up the deanship of the Taub Faculty of Computer Science. He is a Professor and Dean, with research interests in cryptography and privacy, machine learning, computational and communication complexity, and randomized distributed protocols.

Career

  1. Since 2025TechnionProfessor and Dean
  2. 1992–1996Harvard University

Education

  1. 1991TechnionPhD
  2. 1989TechnionMSc
  3. 1986Bar-Ilan UniversityBSc in Mathematics and Computer Science

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. Universities keep AI researchers for a median of 6 years, compared with 2 years at frontier labsIncludes Technion. Across 15,811 dated work stays (6,529 people), median role tenure runs from 6 years at universities to 2 years at frontier labs. We compare all five organization types, starting decades from the 1970s to the 2020s, and the organizations that keep people longest.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Technion. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. 41% of people who worked abroad later worked in their country of birth among people with a recorded birth country and dated work historyIncludes Technion. Of 991 people with a recorded birth country who worked outside it, 410 (41%) later held a work position at home, led by the United States at 69%.
  4. The United States employs an estimated 48% of people shaping AIIncludes Technion. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Eyal Kushilevitz simons.berkeley.edu. Checked 22 October 2026.
  2. Basics (Chapter 1) - Communication Complexity cambridge.org. Checked 22 October 2026.
  3. ECCC - TR96-059 eccc.weizmann.ac.il. Checked 22 October 2026.
  4. Protecting data privacy in private information retrieval schemes cris.technion.ac.il. Checked 22 October 2026.
  5. Cryptographic Sensing eprint.iacr.org. Checked 22 October 2026.
  6. FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning arxiv.org. Checked 22 October 2026.
  7. A New Year Marked By Renewal And Leadership cs.technion.ac.il. Checked 22 October 2026.
  8. People | Faculty | The Taub Faculty of Computer Science, Technion cs.technion.ac.il. Checked 22 October 2026.