Table of Links
Abstract and 1. Introduction
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Background and Related Work
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Threat Model
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Robust Style Mimicry
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Experimental Setup
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Results
6.1 Main Findings: All Protections are Easily Circumvented
6.2 Analysis
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Discussion and Broader Impact, Acknowledgements, and References
A. Detailed Art Examples
B. Robust Mimicry Generations
C. Detailed Results
D. Differences with Glaze Finetuning
E. Findings on Glaze 2.0
F. Findings on Mist v2
G. Methods for Style Mimicry
H. Existing Style Mimicry Protections
I. Robust Mimicry Methods
J. Experimental Setup
K. User Study
L. Compute Resources
A Detailed Art Examples
This section illustrates how images look like at every stage of our work. We include (1) original artwork from a contemporary artist (@nulevoy)[5] as a reference in Figure 6, (2) the original artwork after applying each of the available protections in Figure 7, (3) one image after applying the cross product of all protections and preprocessing methods in Figure 8, (4) baseline generations from a model trained on unprotected art in Figure 9, and (5) robust mimicry generations for each scenario in Figure 10.
Authors:
(1) Robert Honig, ETH Zurich ([email protected]);
(2) Javier Rando, ETH Zurich ([email protected]);
(3) Nicholas Carlini, Google DeepMind;
(4) Florian Tramer, ETH Zurich ([email protected]).
This paper is
[5] The artist gave explicit permission for the use of their art
