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Creators/Authors contains: "Kate, Aniket"

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  1. ; ; ; (, Springer Nature Switzerland)
    Free, publicly-accessible full text available January 1, 2026
  2. ; ; ; (, IEEE)
    Full Text Available 
  3. ; ; ; ; ; (, IEEE)
    Full Text Available 
  4. ; ; ; (, 2024 IEEE Symposium on Security and Privacy (SP))
  5. ; ; ; ; ; (, IEEE/IFIP DSN)
    Full Text Available 
  6. ; ; ; (, International Journal of Information Security)
    Full Text Available 
  7. ; ; ; ; ; (, Network and Distributed System Security (NDSS) Symposium 2024)
    Accepted Manuscript Full Text Available
  8. ; ; ; ; (, ACM SIGSAC Conference on Computer and Communications Security (CCS))
    Full Text Available 
  9. ; (, Proceedings on Privacy Enhancing Technologies)
    Mazurek, Michelle L; Sherr, Micah. (Ed.)
    This work presents RPM, a scalable anonymous communication protocol suite using secure multiparty computation (MPC) with the offline-online model. We generate random, unknown permutation matrices in a secret-shared fashion and achieve improved (online) performance and the lightest communication and computation overhead for the clients compared to the state of art robust anonymous communication protocols. Using square-lattice shuffling, we make our protocol scale well as the number of clients increases. We provide three protocol variants, each targeting different input volumes and MPC frameworks/libraries. Besides, due to the modular design, our protocols can be easily generalized to support more MPC functionalities and security properties as they get developed. We also illustrate how to generalize our protocols to support two-way anonymous communication and secure sorting. We have implemented our protocols using the MP-SPDZ library suit and the benchmark illustrates that our protocols achieve unprecedented online phase performance with practical offline phases. 
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  10. ; ; ; (, IEEE)