Yehuda Lindell

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Yehuda Lindell
YehudaLindell2.jpg
Born24 February 1971 (1971-02-24) (age 50)
Australia
Alma materBSc Bar-Ilan University, 1997
MSc Bar-Ilan University, 1998
Ph.D. Weizmann Institute of Science, 2002
Known forSecure multi-party computation
Scientific career
FieldsCryptography
InstitutionsBar Ilan University
Doctoral advisorOded Goldreich and Moni Naor

Yehuda Lindell (born 24 February 1971) is a professor in the Department of Computer Science at Bar-Ilan University where he conducts research on cryptography with a focus on the theory of secure computation and its application in practice. He currently serves as the CEO of Unbound Security, a startup company that he co-founded.

Education and academic positions[edit]

Lindell received a BSc and Msc degree in computer science from Bar-Ilan University. He then obtained a PhD in computer science from the Weizmann Institute of Science in 2002. Lindell received a Raviv Fellowship[1] and spent two years at IBM's cryptography research group at the T.J. Watson Research Center. In 2004, he returned to Israel to take up an academic position at Bar-Ilan University.[2] Lindell's work on secure computation was recognized by the award of an ERC starting grant in 2009 and an ERC consolidators grant in 2014.[3]

Industry experience[edit]

Lindell worked from 2004 to 2014 as a permanent cryptographic consultant to Safenet, formally Aladdin. He co-founded the company Unbound Security, and served as its Chief Scientist from 2014 to 2018. In 2019, he took over the role of CEO of Unbound Security.

Research[edit]

Lindell's main contributions are in the field of secure multiparty computation. Lindell's research initially focused on theoretical feasibility, and in particular in the area of protocol composition. Lindell has carried out extensive research on efficient two-party secure computation via the Yao garbled circuit construction, and on efficient multiparty computation for the multiparty honest-majority setting based on Secret sharing. His most cited work is a joint paper with Benny Pinkas on privacy preserving data mining[4] in which the use of secure computation was proposed for performing data mining algorithms; in particular the ID3 algorithm. Lindell provided the first proof of security for the basic Yao protocol,[5] and the first proof of security for the BGW protocol.[6] Lindell has also worked on the design of two-party protocols which are secure against active adversaries,[7][8][9][10] the introduction of the concept of covert adversarial models,[11] and much more. Lindell won the IBM Pat Goldberg Memorial Best Paper Award in Computer Science, Electrical Engineering and Math in 2006 for his work on the composition of Authenticated Byzantine Agreement,[12] and the best paper award at ACM CCS 2016 for work on high-throughput MPC protocols.[13] In 2021, Lindell published a review article on secure multiparty computation in the Communications of the ACM.[14]

Lindell is also the co-inventor of the AES-GCM-SIV mode of operation for symmetric encryption, standardized by the IETF Crypto Forum Research Group in RFC 8452.[15] He received the best paper award at ACM CCS 2017 for the research paper behind AES-GCM-SIV.[16]

Lindell is also the author of a textbook with Jonathan Katz on modern cryptography. This textbook is utilized in many universities around the world as a standard reference work.

Books[edit]

  • Yehuda Lindell (2003). Composition of Secure Multi-Party Protocols: A Comprehensive Study. Springer. ISBN 978-3540201052.
  • Jonathan Katz and Yehuda Lindell (2007). Introduction to Modern Cryptography. Chapman and Hall. ISBN 978-1584885511.
  • Carmit Hazay and Yehuda Lindell (2010). Efficient Secure Two-Party Protocols: Techniques and Constructions. Springer. ISBN 978-3642143021.
  • Yehuda Lindell (Ed.) (2014). Proceedings of the 11th Theory of Cryptography Conference. Springer. ISBN 978-3642542411.CS1 maint: extra text: authors list (link)
  • Jonathan Katz and Yehuda Lindell (2014). Introduction to Modern Cryptography, 2nd Edition. Chapman and Hall. ISBN 978-1466570269.
  • Yehuda Lindell (Ed.) (2017). Tutorials on the Foundations of Cryptography. Springer. ISBN 978-3-319-57047-1.CS1 maint: extra text: authors list (link)
  • Jonathan Katz and Yehuda Lindell (2020). Introduction to Modern Cryptography, 3rd Edition. Chapman and Hall. ISBN 978-0815354369.

References[edit]

  1. ^ "Raviv Fellowship Recipients". Retrieved 2015-05-04.
  2. ^ "CS Faculty | Department of Computer Science".
  3. ^ "ERC Funding and Grants".
  4. ^ Y Lindell and B Pinkas. Privacy preserving data mining. Advances in Cryptology — CRYPTO 2000, 36-54.
  5. ^ Y. Lindell and B. Pinkas. A proof of security of Yao’s protocol for two-party computation. Journal of Cryptology, 22(2):161-188, 2009.
  6. ^ G. Asharov and Y. Lindell. A Full Proof of the BGW Protocol for Perfectly-Secure Multiparty Computation. In the Journal of Cryptology, 30(1):58-151, 2017.
  7. ^ Y. Lindell and B. Pinkas. An efficient protocol for secure two-party computation in the presence of malicious adversaries. Advances in Cryptology — EUROCRYPT 2007, 52-78.
  8. ^ Y. Lindell and B. Pinkas. Secure Two-Party Computation via Cut-and-Choose Oblivious Transfer. Theory of Cryptography Conference TCC 2011, 392-346.
  9. ^ Y. Lindell. Fast Cut-and-Choose Based Protocols for Malicious and Covert Adversaries. Advances in Cryptology - CRYPTO 2013, 1-17.
  10. ^ Y. Lindell and B. Riva. Cut-and-Choose Yao-Based Secure Computation in the Online/Offline and Batch Settings. Advances in Cryptology - CRYPTO 2014, 476-494.
  11. ^ Y. Aumann and Y. Lindell. Security against covert adversaries: Efficient protocols for realistic adversaries. Journal of Cryptology, 23(2), 281-343, 2010.
  12. ^ Y. Lindell, A. Lysyanskaya and T. Rabin. On the Composition of Authenticated Byzantine Agreement. In the Journal of the ACM, 53(6):881–917, 2006.
  13. ^ T. Araki, J. Furukawa, Y. Lindell, A. Nof and K. Ohara. High-Throughput Semi-Honest Secure Three-Party Computation with an Honest Majority. In the 23rd ACM Conference on Computer and Communications Security (ACM CCS), pages 805–817, 2016.
  14. ^ Y. Lindell. Secure Multiparty Computation (Review Article). Communications of the ACM (CACM), 64(1):86–96, 2021."Secure Multiparty Computation - CACM".
  15. ^ https://tools.ietf.org/html/rfc8452
  16. ^ S. Gueron and Y. Lindell. Better Bounds for Block Cipher Modes of Operation via Nonce-Based Key Derivation. In the 24th ACM Conference on Computer and Communications Security (ACM CCS), pages 1019–1036, 2017.

External links[edit]