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Yehuda Lindell

Yehuda Lindell

D-Index & Metrics

Computer Science

D-Index
80
Citations
23306
World Ranking
1092
National Ranking
19

Overview

Yehuda Lindell is affiliated with Bar-Ilan University in Israel and is active in the field of computer science. Their research includes a significant focus on cryptography and data security, complexity and algorithms in graphs, as well as privacy-preserving technologies with applications in cloud data security.

Their published works cover a range of topics, primarily in cryptography and related computational theories. Some of the recent papers co-authored by Lindell include:

  • Secure multiparty computation, 2020, Communications of the ACM
  • Simple Three-Round Multiparty Schnorr Signing with Full Simulatability, 2024, IACR Communications in Cryptology
  • Feldman's Verifiable Secret Sharing for a Dishonest Majority, 2024, IACR Communications in Cryptology
  • Fast Large-Scale Honest-Majority MPC for Malicious Adversaries, 2023, Journal of Cryptology
  • Optimizing and Implementing Fischlin's Transform for UC-Secure Zero Knowledge, 2024, IACR Communications in Cryptology

Lindell frequently publishes in specialized venues such as:

  • Journal of Cryptology
  • IACR Communications in Cryptology
  • Communications of the ACM

Their frequent collaborators include:

  • Yi-Hsiu Chen
  • Ariel Nof
  • Koji Chida
  • Koki Hamada
  • Dai Ikarashi

Their main fields of study are rooted in computer science, with a notable contribution to artificial intelligence, computational theory and mathematics, information systems, computer networks and communications, and electrical and electronic engineering.

Lindell's research topics are diverse, covering:

  • Cryptography and Data Security
  • Complexity and Algorithms in Graphs
  • Privacy-Preserving Technologies in Data
  • Cloud Data Security Solutions
  • Ferroelectric and Negative Capacitance Devices
  • Cryptographic Implementations and Security
  • Security and Verification in Computing

Best Publications

  • Introduction to Modern Cryptography

    Jonathan Katz;Yehuda Lindell

  • Privacy preserving data mining

    Y. Lindell;B. Pinkas

  • A Proof of Security of Yao’s Protocol for Two-Party Computation

    Yehuda Lindell;Benny Pinkas

  • Universally composable two-party and multi-party secure computation

    Ran Canetti;Yehuda Lindell;Rafail Ostrovsky;Amit Sahai

  • Introduction to Modern Cryptography (Chapman & Hall/CRC Cryptography and Network Security Series)

    Jonathan Katz;Yehuda Lindell

  • Secure Multiparty Computation for Privacy-Preserving Data Mining.

    Yehuda Lindell;Benny Pinkas

  • An Efficient Protocol for Secure Two-Party Computation in the Presence of Malicious Adversaries

    Yehuda Lindell;Benny Pinkas

  • More Efficient Oblivious Transfer and Extensions for Faster Secure Computation.

    Gilad Asharov;Yehuda Lindell;Thomas Schneider;Michael Zohner

  • High-Throughput Semi-Honest Secure Three-Party Computation with an Honest Majority.

    Toshinori Araki;Jun Furukawa;Yehuda Lindell;Ariel Nof

  • Introduction to Modern Cryptography, Second Edition

    Jonathan Katz;Yehuda Lindell

  • A Framework for Password-Based Authenticated Key Exchange.

    Rosario Gennaro;Yehuda Lindell

  • How to Simulate It – A Tutorial on the Simulation Proof Technique

    Yehuda Lindell

  • Security against covert adversaries: efficient protocols for realistic adversaries

    Yonatan Aumann;Yehuda Lindell

  • Security Against Covert Adversaries: Efficient Protocols for Realistic Adversaries

    Yonatan Aumann;Yehuda Lindell

  • A Statistical Theory for Quantitative Association Rules

    Yonatan Aumann;Yehuda Lindell

  • More Efficient Constant-Round Multi-party Computation from BMR and SHE

    Yehuda Lindell;Nigel P. Smart;Eduardo Soria-Vazquez

  • Universally Composable Password-Based Key Exchange.

    Ran Canetti;Shai Halevi;Jonathan Katz;Yehuda Lindell

  • Efficient Secure Two-Party Protocols: Techniques and Constructions

    Carmit Hazay;Yehuda Lindell

  • Efficient protocols for set intersection and pattern matching with security against malicious and covert adversaries

    Carmit Hazay;Yehuda Lindell

  • Text Mining at the Term Level

    Ronen Feldman;Moshe Fresko;Yakkov Kinar;Yehuda Lindell

  • Efficient Protocols for Set Intersection and Pattern Matching with Security Against Malicious and Covert Adversaries

    Carmit Hazay;Yehuda Lindell

  • An Efficient Protocol for Secure Two-Party Computation in the Presence of Malicious Adversaries

    Yehuda Lindell;Benny Pinkas

Frequent Co-Authors

Benny Pinkas
Benny Pinkas Bar-Ilan University
Carmit Hazay
Carmit Hazay Bar-Ilan University
Tal Rabin
Tal Rabin University of Pennsylvania
Jonathan Katz
Jonathan Katz University of Maryland, College Park
Ran Canetti
Ran Canetti Boston University
Boaz Barak
Boaz Barak Harvard University
Eyal Kushilevitz
Eyal Kushilevitz Technion – Israel Institute of Technology
Shay Gueron
Shay Gueron University of Haifa
Thomas Schneider
Thomas Schneider Technical University of Darmstadt

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