37 citations · 158 across the 41 of their papers we have counts for
5 papers · 1 filter
Residual Paving: Diagnosing the Routing Bottleneck in Selective Refusal Editing
Bryce Hinkley, Peyman Najafirad
We study selective refusal editing as a three-way control problem: induce non-refusal on designated edit prompts while preserving benign behavior and harmful refusals outside the e…
A Comprehensive Evaluation of the Sensitivity of Density-Ratio Estimation Based Fairness Measurement in Regression
Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad
The prevalence of algorithmic bias in Machine Learning (ML)-driven approaches has inspired growing research on measuring and mitigating bias in the ML domain. Accordingly, prior re…
Machine Learning Fairness in House Price Prediction: A Case Study of America's Expanding Metropolises
Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad
As a basic human need, housing plays a key role in enhancing health, well-being, and educational outcome in society, and the housing market is a major factor for promoting quality…
On the Consistency of Fairness Measurement Methods for Regression Tasks
Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad
With growing applications of Machine Learning (ML) techniques in the real world, it is highly important to ensure that these models work in an equitable manner. One main step in en…
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
Samuel Henrique Silva, Peyman Najafirad
As we seek to deploy machine learning models beyond virtual and controlled domains, it is critical to analyze not only the accuracy or the fact that it works most of the time, but…