Mar 12, 2024 · In this paper, we propose Fairness as a Service (FaaS), a secure, verifiable and privacy-preserving protocol to computes and verify the fairness of any machine ...

In this paper, we propose Fairness as a Service (FaaS), a secure, verifiable and privacy-preserving protocol to computes and verify the fairness of any machine ...

This paper proposed Fairness as a Service (FaaS), a secure, verifiable and privacy-preserving protocol to computes and verify the fairness of any machine ...

Jan 3, 2024 · In this paper, we propose Fairness as a Service (FaaS), a secure, verifiable and privacy-preserving protocol to compute and verify the fairness ...

Verifiable Fairness: Privacy–preserving Computation of Fairness for Machine Learning Systems ; English · Computer Security. ESORICS 2023 International Workshops.

In this paper, we propose Fairness as a Service (FaaS), a secure, verifiable and privacy-preserving protocol to computes and verify the fairness of any machine ...

Nov 7, 2023 · In this paper, we propose FaaS, a novel privacy-preserving, end-to-end verifiable solution, that audits the algorithmic fairness of ML systems.

Jan 3, 2024 · Discover Fairness as a Service (FaaS), an architecture and protocol ensuring algorithmic fairness without exposing the original dataset or ...

In this study, we propose a trustless verifiable fairness audit framework that assesses the fairness of ML algorithms while addressing potential security ...

Nov 7, 2023 · FaaS facilitates end-to-end verifiability for computation of fairness to stakeholders via enabling every- one to audit the fairness of the ML ...