FaaS Architecture and Verifiable Fairness for ML Systemsby@escholar
216 reads

FaaS Architecture and Verifiable Fairness for ML Systems

Too Long; Didn't Read

This section unfolds the architecture of Fairness as a Service (FaaS), a revolutionary system for ensuring trust in fairness audits within machine learning. The discussion encompasses the threat model, protocol overview, and the essential phases: setup, cryptogram generation, and fairness evaluation. FaaS introduces a robust approach, incorporating cryptographic proofs and verifiable steps, offering a secure foundation for fair evaluations in the ML landscape.

Company Mentioned

Mention Thumbnail
featured image - FaaS Architecture and Verifiable Fairness for ML Systems
EScholar: Electronic Academic Papers for Scholars HackerNoon profile picture
EScholar: Electronic Academic Papers for Scholars

EScholar: Electronic Academic Papers for Scholars

@escholar

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community

L O A D I N G
. . . comments & more!

About Author

EScholar: Electronic Academic Papers for Scholars HackerNoon profile picture
EScholar: Electronic Academic Papers for Scholars@escholar
We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community

TOPICS

Languages

THIS ARTICLE WAS FEATURED IN...

Permanent on Arweave
Read on Terminal Reader
Read this story in a terminal
 Terminal
Read this story w/o Javascript
Read this story w/o Javascript
 Lite