Law and Adversarial Machine Learning. - Ram Shankar Siva Kumar; David R. O'Brien; Kendra Albert; Salome Vilojen (CoRR, 2018)

Failure Modes in Machine Learning Systems. - Ram Shankar Siva Kumar; David R. O'Brien; Kendra Albert; Salomé Viljöen; Jeffrey Snover (CoRR, 2019)

Politics of Adversarial Machine Learning. - Kendra Albert; Jonathon Penney; Bruce Schneier; Ram Shankar Siva Kumar (CoRR, 2020)

Legal Risks of Adversarial Machine Learning Research. - Ram Shankar Siva Kumar; Jonathon Penney; Bruce Schneier; Kendra Albert (CoRR, 2020)

Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning. - Kendra Albert; Maggie K. Delano; Jonathon Penney; Afsaneh Rigot; Ram Shankar Siva Kumar (CoRR, 2020)

This Whole Thing Smacks of Gender: Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis. - Kendra Albert; Maggie K. Delano (FAccT, 2021)

Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks. - Kendra Albert; Maggie K. Delano; Bogdan Kulynych; Ram Shankar Siva Kumar (CoRR, 2021)

Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them. - Kendra Albert; Maggie K. Delano (CoRR, 2022)

Sex trouble: Sex/gender slippage, sex confusion, and sex obsession in machine learning using electronic health records. - Kendra Albert; Maggie K. Delano (Patterns, 2022)

Two researchers share how their cross disciplinary collaboration enables work to guide the future of data science. - Maggie K. Delano; Kendra Albert (Patterns, 2022)

Do the Right Thing. - Kendra Albert; James Grimmelmann (Commun. ACM, 2023)

Misgendered During Moderation: How Transgender Bodies Make Visible Cisnormative Content Moderation Policies and Enforcement in a Meta Oversight Board Case. - Samuel Mayworm; Kendra Albert; Oliver L. Haimson (FAccT, 2024)