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1
Intro
2
Authentication to Computers
3
Biometric Authentication
4
Problem: Biometrics are Forever
5
Solution: Fuzzy Extractors
6
Fuzzy Extractors Definition
7
Error Correcting Codes
8
Constructions, Proofs, and Distributions
9
Code Offset Construction
10
What is wrong?
11
What can we do?
12
Confidence Information
13
Goal of the Project
14
Decoding
15
Subset Selection
16
Code Offset in the Exponent Game
17
MIPURS Distribution Characterization
18
MIPURS Intuition
19
What is included?
20
Independent Sources
21
Location Sources
22
MIPURS and All Subsets
23
General Entropy Requirements for MIPURS
24
MIPURS Recap
25
Overview
Description:
Explore a novel fuzzy extractor construction presented at the 2021 ITC Conference in this 23-minute talk by Luke Demarest. Delve into the utilization of error-correcting codes' linear nature and cryptographically hard groups' homomorphisms to support MIPURS (Maximum Inner Product Unpredictable under Random Subspaces) distributions. Learn about biometric authentication challenges, fuzzy extractor definitions, and the Code Offset construction. Discover the innovative approach of Code Offset in the Exponent, its game-theoretic implications, and the MIPURS distribution characterization. Gain insights into confidence information, subset selection, and general entropy requirements for MIPURS. Understand the project's goals, decoding processes, and the broader implications for computer authentication and biometric security.

2021 ITC Conference - Code Offset in the Exponent

Paul G. Allen School
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