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Adversarial Attacks

This repo contains the code for the paper "Provable Robustness against Wasserstein Adversarial Attacks". Created by Tobias Wegel (t.wegel@stud.uni-goettingen.de).

Annonymizing facial footprints - anonyME allows users to inoculate their personal images against unauthorized machine learning models, with minimal distortion of the input image, and no need for prior machine learning knowledge.