Lattices and Encrypted Computation
summary
Shows a concrete path from LWE to practical fully homomorphic encryption: tensor ciphertexts to multiply, use bit-decomposition to do scalar products, and apply key-switching chain to reduce tensor-grown keys back to manageable size. Noise grows (additions OK, scalar mult adds about log Q factor), ACPS small-secret LWE keeps errors poly-sized, and a leveled FHE construction works; full FHE needs either bootstrapping via homomorphic decryption or an unresolved circular‑security step.
AI-written summary · about
chapters (15)
- 0:00Introduction
- 0:58Lattices and Encryption
- 3:53Fully Homomorphic Encryption
- 10:42History
- 12:10First Breakthrough
- 19:22Second Breakthrough
- 27:35Summary
- 28:50Vika
- 29:21Encryption
- 39:13Key Switching
- 47:14Modular Computation
- 51:48Short Ciphertex
- 57:08Circular Encryption
- 58:06MultiKey Encryption
- 58:30Questions
related talks
57mTutorial: Encrypted Computation from Lattices
45mFully Homomorphic Encryption I
01h 04mFully Homomorphic Encryption II
39mLattice Based Cryptography Primer
46mRunning Circuits of Unbounded Depth over Encrypted Data, Securely, Using Lattices...
01h 03mLockable Obfuscation
54mGraph-Induced Multilinear Maps from Lattices
01h 05mObfuscation from Noisy Linear FE
