9 citations · 10 across the 4 of their papers we have counts for
4 papers
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks
Kendra Albert, Maggie Delano, Bogdan Kulynych +1
Attacks from adversarial machine learning (ML) have the potential to be used "for good": they can be used to run counter to the existing power structures within ML, creating breath…
Teaching Inclusive Engineering Design at a Small Liberal Arts College
Maggie Delano
Modern engineering education tends to focus on mathematics and fundamentals, eschewing critical reflections on technology and the field of engineering. In this paper, I present an…
"This Whole Thing Smacks of Gender": Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis
Kendra Albert, Maggie Delano
Smart weight scales offer bioimpedance-based body composition analysis as a supplement to pure body weight measurement. Companies such as Withings and Fitbit tout composition analy…
Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning
Kendra Albert, Maggie Delano, Jonathon Penney +2
This paper critically assesses the adequacy and representativeness of physical domain testing for various adversarial machine learning (ML) attacks against computer vision systems…