PDQ & TMK + PDQF -- A Test Drive Of Facebook's Perceptual Hashing Algorithms
Janis Dalins, Campbell Wilson, Douglas Boudry . Arxiv 2019 – 5 citations
[Paper]
Efficient and reliable automated detection of modified image and multimedia files has long been a challenge for law enforcement, compounded by the harm caused by repeated exposure to psychologically harmful materials. In August 2019 Facebook open-sourced their PDQ and TMK + PDQF algorithms for image and video similarity measurement, respectively. In this report, we review the algorithms’ performance on detecting commonly encountered transformations on real-world case data, sourced from contemporary investigations. We also provide a reference implementation to demonstrate the potential application and integration of such algorithms within existing law enforcement systems.