Two-Face: Adversarial Audit of Commercial Face Recognition Systems.

Abstract
Computer vision applications like automated face detection are used for a variety of purposes ranging from unlocking smart devices to tracking potential persons of interest for surveillance. Audits of these applications have revealed that they tend to be biased against minority groups which result in unfair and concerning societal and political outcomes. Despite multiple studies over time, these biases have not been mitigated completely and have...
Paper Details
Title
Two-Face: Adversarial Audit of Commercial Face Recognition Systems.
Published Date
Nov 17, 2021
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