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Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in
  Generative AI Interactions

Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions

9 February 2024
Bianca-Mihaela Ganescu
Jonathan Passerat-Palmbach
    SyDa
ArXivPDFHTML

Papers citing "Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions"

5 / 5 papers shown
Title
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning
Zhizhi Peng
Taotao Wang
Chonghe Zhao
Guofu Liao
Zibin Lin
Y. Liu
Bin Cao
Long Shi
Qing Yang
Shengli Zhang
52
2
0
25 Feb 2025
SeCTIS: A Framework to Secure CTI Sharing
SeCTIS: A Framework to Secure CTI Sharing
Dincy R. Arikkat
Mert Cihangiroglu
Mauro Conti
Rafidha Rehiman K. A.
S. Nicolazzo
Antonino Nocera
Vinod P
28
2
0
20 Jun 2024
Verifiable evaluations of machine learning models using zkSNARKs
Verifiable evaluations of machine learning models using zkSNARKs
Tobin South
Alexander Camuto
Shrey Jain
Shayla Nguyen
Robert Mahari
Christian Paquin
Jason Morton
Alex Pentland
MLAU
ALM
22
11
0
05 Feb 2024
Enforcing fairness in private federated learning via the modified method
  of differential multipliers
Enforcing fairness in private federated learning via the modified method of differential multipliers
Borja Rodríguez Gálvez
Filip Granqvist
Rogier van Dalen
M. Seigel
FedML
36
51
0
17 Sep 2021
FedFair: Training Fair Models In Cross-Silo Federated Learning
FedFair: Training Fair Models In Cross-Silo Federated Learning
Lingyang Chu
Lanjun Wang
Yanjie Dong
J. Pei
Zirui Zhou
Yong Zhang
FedML
56
40
0
13 Sep 2021
1