For more information, please see my CV.

Publications: Law

  • Kendra Albert, Accidental Abolition?: Section 230’s Elimination of State Criminal Law and Abolition Feminism, forthcoming in Feminist Cyberlaw, 2022.
  • Kendra Albert & Avatara Smith-Carrington, Bomb Body Politics: On the TSA’s Algorithmic Policing of Gender, forthcoming in University of Florida Journal of Law & Public Policy, 2022.
  • Kendra Albert, Five Reflections from Four Years of FOSTA/SESTA, forthcoming in Cardozo Arts and Entertainment Law Journal, 2022.
  • Kendra Albert, et al., FOSTA in Legal Context, 52 Columbia Human Rights Law Review 1084, 2021.
  • Kendra Albert, Computer Security Tools and Concepts for Lawyers, The Green Bag (vol. 20, no. 2), 2017.
  • Jonathan Zittrain, Kendra Albert, & Lawrence Lessig, Perma: Scoping and Addressing the Problem of Link and Reference Rot in Legal Citations, 127 Harv. L. Rev. Forum 176, 2014.

Publications: Peer Reviewed

  • Kendra Albert & Maggie Delano, Algorithmic Exclusion, under submission for Handbook of Critical Studies of Artificial Intelligence, 2022.
  • Kendra Albert & Maggie Delano, Sex Trouble: Sex/Gender Slippage, Sex Confusion, and Sex Obsession in Machine Learning Using Electronic Health Records, Cell Patterns, 2022.
  • Kendra Albert, Maggie Delano, Bogdan Kulynych, & Ram Shankar Siva Kumar, Adversarial for Good? How the Adversarial ML Community’s Values Impede Socially Beneficial Uses of Attacks, ICML 2021 Workshop on the Promises and Perils of Adversarial Machine Learning, 2021.
  • Kendra Albert & Maggie Delano, “This Whole Thing Smacks of Gender”: Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis, ACM Conference on Fairness, Accountability, and Transparency 2021 (presentation), 2021.
  • Kendra Albert et al., Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning, NeurIPS 2020 Workshop on Dataset Curation and Security (presentation), 2020.
  • Ram Shankar Siva Kumar, Jonathon Penney, Bruce Schneier, & Kendra Albert, Legal Risks of Adversarial Machine Learning Research, ICML 2020 Workshop on Law & Machine Learning (selected for oral presentation), 2020.
  • Kendra Albert et al., Politics of Adversarial Machine Learning, ICLR 2020 Workshop on Towards Trustworthy Machine Learning: Rethinking Security and Privacy for ML (selected for oral presentation), 2019.
  • Ram Shankar Siva Kumar, David R. O’Brien, Kendra Albert, Salome Vilojen, & Jeffery Snover, Failure Modes in Machine Learning Systems, Microsoft Security Documentation, 2018.
  • Ram Shankar Siva Kumar, David R. O’Brien, Kendra Albert, & Salomé Viljoen, Law and Adversarial Machine Learning, NeurIPS Workshop on Security in Machine Learning (selected for oral presentation), 2018.