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
3
views
technology stack
Python
Medium
inspired by
Attacking perceptual hashing with adversarial machine learning