Gimme That Model!: A Trusted ML Model Trading Protocol

03/01/2020
by   Laia Amorós, et al.
0

We propose a HE-based protocol for trading ML models and describe possible improvements to the protocol to make the overall transaction more efficient and secure.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/03/2019

Secure Two-Party Feature Selection

In this work, we study how to securely evaluate the value of trading dat...
research
01/25/2018

Secure and Privacy-Friendly Local Electricity Trading and Billing in Smart Grid

This paper proposes two decentralised, secure and privacy-friendly proto...
research
03/18/2019

Securely Trading Unverifiable Information without Trust

In future, information may become one of the most important assets in ec...
research
09/24/2021

Interpretability in Safety-Critical FinancialTrading Systems

Sophisticated machine learning (ML) models to inform trading in the fina...
research
05/16/2023

Flexible remote attestation of pre-SNP SEV VMs using SGX enclaves

We propose a protocol that explores a synergy between two TEE implementa...
research
07/14/2020

BDTF: A Blockchain-Based Data Trading Framework with Trusted Execution Environment

The need for data trading promotes the emergence of data market. However...
research
08/05/2013

Trading USDCHF filtered by Gold dynamics via HMM coupling

We devise a USDCHF trading strategy using the dynamics of gold as a filt...

Please sign up or login with your details

Forgot password? Click here to reset