Afsaneh Rigot

ARTICLE 19

60 Farringdon Road

London, EC1R 1UQ

United Kingdom

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Ethical Testing in the Real World: Evaluating Physical Testing of Adversarial Machine Learning

Workshop on Dataset Curation and Security // Workshop on Navigating the Broader Impacts of AI Research -- Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
Number of pages: 8 Posted: 05 Feb 2021
Harvard Law School, Engineering Department, Swarthmore College, Osgoode Hall Law School, ARTICLE 19 and Microsoft Corporation
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Abstract:

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Artificial Intelligence, AI, Machine Learning, ML Adversarial Machine Learning, Ethics, Physical Testing, Physical Domain, Methodology, ML attacks, FRT, Facial Recognition Technology, Invisibility, Algorithms, Research Ethics, Design, Security, Privacy, Human Rights