World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7826
World Ranking
8352
National Ranking
3581

Overview

Abhi Shelat is affiliated with Northeastern University in the United States and focuses their research in the field of Computer Science. Their work covers several subfields including Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Electrical and Electronic Engineering, and Computer Networks and Communications.

The scientist's research primarily addresses topics in Cryptography and Data Security, along with significant contributions in Complexity and Algorithms in Graphs. Additional thematic areas within their work include Cryptography and Residue Arithmetic, Wireless Communication Security Techniques, Security in Wireless Sensor Networks, Privacy-Preserving Technologies in Data, and Oral and Gingival Health Research.

Abhi Shelat has published several papers in well-known venues. Notable recent publications are:

  • Multiparty Generation of an RSA Modulus, 2022, Journal of Cryptology
  • Adaptively Secure MPC with Sublinear Communication Complexity, 2023, Journal of Cryptology
  • Guaranteed Output in O(√n) Rounds for Round-Robin Sampling Protocols, 2025, Journal of Cryptology
  • A Brief Note on Cryptographic Pseudonyms for Anonymous Credentials, 2025, arXiv (Cornell University)

The scientist frequently collaborates with several coauthors. Most common collaborators include Yashvanth Kondi, Ran Cohen, Jack Doerner, Megan Chen, and Eysa Lee.

Publication venues where Abhi Shelat most often appears include the Journal of Cryptology, where multiple works have been published, as well as arXiv (Cornell University).

Best Publications

  • Analysis of the Blockchain Protocol in Asynchronous Networks

    Rafael Pass;Lior Seeman;Abhi Shelat

  • One-to-many propensity score matching in cohort studies

    Jeremy A. Rassen;Abhi A. Shelat;Jessica Myers;Robert J. Glynn

  • The smallest grammar problem

    M. Charikar;E. Lehman;Ding Liu;R. Panigrahy

  • Efficient Protocols for Set Membership and Range Proofs

    Jan Camenisch;Rafik Chaabouni;Abhi Shelat

  • Remembrance of data passed: a study of disk sanitization practices

    S.L. Garfinkel;A. Shelat

  • Doubly-Efficient zkSNARKs Without Trusted Setup

    Riad S. Wahby;Ioanna Tzialla;Abhi Shelat;Justin Thaler

  • Simulatable Adaptive Oblivious Transfer.

    Jan Camenisch;Gregory Neven;Abhi Shelat

  • Billion-Gate Secure Computation with Malicious Adversaries

    Benjamin Kreuter;abhi shelat;Chih-hao Shen

  • Securely obfuscating re-encryption

    Susan Hohenberger;Guy N. Rothblum;Abhi Shelat;Vinod Vaikuntanathan

  • SCORAM: Oblivious RAM for Secure Computation

    Xiao Shaun Wang;Yan Huang;T-H. Hubert Chan;Abhi Shelat

  • Efficient secure computation with garbled circuits

    Yan Huang;Chih-hao Shen;David Evans;Jonathan Katz

  • Scaling ORAM for Secure Computation

    Jack Doerner;Abhi Shelat

  • Secure Two-party Threshold ECDSA from ECDSA Assumptions

    Jack Doerner;Yashvanth Kondi;Eysa Lee;Abhi Shelat

  • Method and apparatus for creating a datamart and for creating a query structure for the datamart

    Jeremy A. Rassen;Emile Litvak;abhi a. shelat;John P. McCaskey

  • Privacy and identity management for everyone

    Jan Camenisch;abhi shelat;Dieter Sommer;Simone Fischer-Hübner

  • Two-output secure computation with malicious adversaries

    Abhi Shelat;Chih-Hao Shen

  • A Better Method to Analyze Blockchain Consistency

    Lucianna Kiffer;Rajmohan Rajaraman;abhi shelat

  • PCF: a portable circuit format for scalable two-party secure computation

    Ben Kreuter;Benjamin Mood;Abhi Shelat;Kevin Butler

  • Threshold ECDSA from ECDSA Assumptions: The Multiparty Case.

    Jack Doerner;Yashvanth Kondi;Eysa Lee;Abhi Shelat

  • Fast Two-Party Secure Computation with Minimal Assumptions.

    Abhi Shelat;Chih-Hao Shen

  • Securely Obfuscating Re-Encryption

    Susan Hohenberger;Guy N. Rothblum;Abhi Shelat;Vinod Vaikuntanathan

  • Computing on Authenticated Data

    Jae Hyun Ahn;Dan Boneh;Jan Camenisch;Susan Hohenberger

Frequent Co-Authors

Rafael Pass
Rafael Pass Cornell University
Susan Hohenberger
Susan Hohenberger Johns Hopkins University
Elaine Shi
Elaine Shi Carnegie Mellon University
David Evans
David Evans University of Virginia
Daniel Wichs
Daniel Wichs Northeastern University
Thomas Ristenpart
Thomas Ristenpart Cornell University
Dan Boneh
Dan Boneh Stanford University

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