Explainable Global Fairness Verification of Tree-Based Classifiers

27 September 2022

Papers citing "Explainable Global Fairness Verification of Tree-Based Classifiers"

7 / 7 papers shown

Title
TA3: Testing Against Adversarial Attacks on Machine Learning Models Yuanzhe Jin Min Chen 28 0 0 06 Oct 2024
Search-Based Fairness Testing: An Overview Hussaini Mamman S. Basri A. Balogun A. A. Imam Ganesh M. Kumar L. F. Capretz 27 1 0 10 Nov 2023
Beyond Robustness: Resilience Verification of Tree-Based Classifiers Stefano Calzavara Lorenzo Cazzaro Claudio Lucchese Federico Marcuzzi S. Orlando AAML 33 9 0 05 Dec 2021
Globally-Robust Neural Networks Klas Leino Zifan Wang Matt Fredrikson AAML OOD 80 125 0 16 Feb 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 233 486 0 31 Dec 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Learning Certifiably Optimal Rule Lists for Categorical Data E. Angelino Nicholas Larus-Stone Daniel Alabi Margo Seltzer Cynthia Rudin 46 196 0 06 Apr 2017