Fairness in the Eyes of the Data: Certifying Machine-Learning Models

Fairness in the Eyes of the Data: Certifying Machine-Learning Models

3 September 2020

Yossi Adi

Papers citing "Fairness in the Eyes of the Data: Certifying Machine-Learning Models"

8 / 8 papers shown

Title
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations Vasisht Duddu Oskari Jarvinen Lachlan J. Gunn Nirmal Asokan 69 1 0 25 Jun 2024
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems Furkan Gursoy I. Kakadiaris 22 4 0 02 Jul 2023
Certifying Some Distributional Fairness with Subpopulation Decomposition Mintong Kang Linyi Li Maurice Weber Yang Liu Ce Zhang Bo-wen Li OOD 56 15 0 31 May 2022
Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems Avinash Agarwal Harshna Agarwal Nihaarika Agarwal 39 28 0 10 Jan 2022
Latent Space Smoothing for Individually Fair Representations Momchil Peychev Anian Ruoss Mislav Balunović Maximilian Baader Martin Vechev FaML 36 19 0 26 Nov 2021
MPC-Friendly Commitments for Publicly Verifiable Covert Security Nitin Agrawal James Bell Adria Gascon Matt J. Kusner 26 4 0 15 Sep 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 19 36 0 10 Jun 2021
CrypTFlow: Secure TensorFlow Inference Nishant Kumar Mayank Rathee Nishanth Chandran Divya Gupta Aseem Rastogi Rahul Sharma 99 235 0 16 Sep 2019