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2019 papers published by FENTEC partners

Date: 
Wednesday, January 1, 2020

2019 is over and it's time to look back to review what we have achieved during the year. We have published 8 scientific papers and 8 specialized posts on our blog.

Several partners from FENTEC Consortium have published Functional-ENcryption related papers:

  • Privacy-Enhanced Machine Learning with Functional Encryption
  • PhD thesis: Public-Key Encryption, Revisited: Tight Security and Richer Functionalities
  • Decentralizing Inner-Product Functional Encryption
  • Unbounded Inner-Product Functional Encryption with Succinct Keys
  • Obfuscating Simple Functionalities from Knowledge assumptions
  • emmy: Trust-Enhancing Authentication Library
  • Efficient Function-Hiding Functional Encryption: From Inner-Products to Orthogonality
  • Pushing the speed limit of constant-time discrete Gaussian sampling. A case study on Falcon

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780108. Any dissemination of results here presented reflects only the consortium view. The Research Executive Agency is not responsible for any use that may be made of the information it contains

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