  Face obscuration is needed by law enforcement and mass media outlets to
guarantee privacy. Sharing sensitive content where obscuration or redaction
techniques have failed to completely remove all identifiable traces can lead to
many legal and social issues. Hence, we need to be able to systematically
measure the face obscuration performance of a given technique. In this paper we
propose to measure the effectiveness of eight obscuration techniques. We do so
by attacking the redacted faces in three scenarios: obscured face
identification, verification, and reconstruction. Threat modeling is also
considered to provide a vulnerability analysis for each studied obscuration
technique. Based on our evaluation, we show that the k-same based methods are
the most effective.
