Advanced Topics On TFHE-like Fully Homomorphic Encryption




Advanced Topics On TFHE-like Fully Homomorphic Encryption 


Fully homomorphic encryption (FHE) cryptosystems allow us to compute on encrypted data. Most of the modern FHE schemes fall into two categories:

  • Schemes like CKKS/BFV are designed to handle arithmetic functions, and they are hard to support non-linear functions, such as comparison or absolute value.
  • Schemes like TFHE are designed to handle boolean functions, which in theory could support any arbitrary computations.

However, there are still strong limitations for the TFHE-like scheme to be practical:

  • Not efficient for arithmetic operations. In contrast, CKKS/BFV schemes can do matrix multiplication efficiently, which is crucial in privacy-preserving machine learning.
  • Big key size. TFHE-like schemes often require evaluation keys with hundreds of megabytes, even if we only want to compute a single gate. This restricts the usability, especially when the resources are constrained.  


FHEW/TFHE like scheme that supports boolean (or other types of non linear) functions. Furthermore, it should have better usability, examples include but not limited to: 

  • Provide a better compatibility with the arithmetic FHEs such as ckks and bfv scheme, such as switching the ciphertext between different schemes without decryption.
  • Be more compact and efficient so as to run on resource-constrained devices.

Related Research Topics

  • TFHE:
  • FHEW :


Suggested Collaboration Method

AIR (Alibaba Innovative Research), one-year collaboration project. 




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