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Homomorphic Signatures and Pre-Processing NIZK

name:David Wu
links:none on file
slides:none on file

Shows that GSW ciphertexts function as a homomorphic commitment with GSW ciphertext = homomorphic commitment, exposing two concrete homomorphisms: an input-independent evaluator on ciphertexts and an input-dependent linear relation on randomness. Uses lattice gadget trapdoors and pre-image sampling to build a designated-prover NIZK in a preprocessing (correlated‑randomness) model and to derive homomorphic signatures; simulation switches A between LWE and uniform to get context‑hiding. Works for bounded-depth circuits, has large public parameters, and leaves fully homomorphic commitments and SA‑free well‑formedness proofs open.

AI-written summary · about

  1. 0:00Intro
  2. 0:27Cryptography from Lattices
  3. 1:54Computing on Encrypted Data
  4. 3:28Computing on Signed Data
  5. 5:45The GSW FHE Scheme
  6. 8:59Homomorphic Operations in GSW
  7. 17:44GSW as a Homomorphic Commitme
  8. 26:25From Commitments to Proofs
  9. 39:10NIZKs in the Preprocessing Model
  10. 49:42Back to Homomorphic Commitment
  11. 51:09Another Ingredient: Lattice Trapdoo
  12. 54:29Context-Hiding for Commitments
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