Star-Specific Key-Homomorphic PRFs From Learning With Linear Regression

Article Properties
  • Publication Date
    2023/01/01
  • Journal
  • Indian UGC (journal)
  • Refrences
    350
  • Vipin Singh Sehrawat Circle Internet Financial, Boston, MA, USA ORCID (unauthenticated)
  • Foo Yee Yeo Seagate Technology, Woodlands Avenue 7, Singapore
  • Dmitriy Vassilyev Seagate Technology, Longmont, CO, USA
Cite
Sehrawat, Vipin Singh, et al. “Star-Specific Key-Homomorphic PRFs From Learning With Linear Regression”. IEEE Access, vol. 11, 2023, pp. 73235-67, https://doi.org/10.1109/access.2023.3294844.
Sehrawat, V. S., Yeo, F. Y., & Vassilyev, D. (2023). Star-Specific Key-Homomorphic PRFs From Learning With Linear Regression. IEEE Access, 11, 73235-73267. https://doi.org/10.1109/access.2023.3294844
Sehrawat VS, Yeo FY, Vassilyev D. Star-Specific Key-Homomorphic PRFs From Learning With Linear Regression. IEEE Access. 2023;11:73235-67.
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Refrences
Title Journal Journal Categories Citations Publication Date
Quantum random number generation

npj Quantum Information
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
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  • Science: Physics
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
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195 2016
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  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2010
Matrix multiplication via matrix groups 2023
Ring key-homomorphic weak PRFs and applications 2020
Verifiable functional encryption using Intel SGX 2020