Adversarial Perceptual Hash Shield
7.5
A software component to defend against adversarial attacks targeting perceptual hashing algorithms. Provides a layer of machine learning-powered analysis and mitigation to maintain the integrity of content copyright detection systems. Reduces the false positives and potentional protections.
180h
mvp estimate
7.5
viability grade
18
views
technology stack
Python
Medium
inspired by
Attacking perceptual hashing with adversarial machine learning