Torts

Why AI Art Protections Aren’t as Strong as They Seem | HackerNoon

Table of Links Abstract and 1. Introduction Background and Related Work Threat Model Robust Style Mimicry Experimental Setup Results 6.1 Main Findings: All Protections are Easily Circumvented 6.2 Analysis 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

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How Are Artists Protecting Their Unique Styles from Imitation in AI Art? | HackerNoon

Table of Links Abstract and 1. Introduction Background and Related Work Threat Model Robust Style Mimicry Experimental Setup Results 6.1 Main Findings: All Protections are Easily Circumvented 6.2 Analysis 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

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Software

The Science Behind AI’s Ability to Recreate Art Styles | HackerNoon

Table of Links Abstract and 1. Introduction Background and Related Work Threat Model Robust Style Mimicry Experimental Setup Results 6.1 Main Findings: All Protections are Easily Circumvented 6.2 Analysis 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

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Mist v2 Fails to Defend Against Robust Mimicry Methods Like Noisy Upscaling | HackerNoon

Table of Links Abstract and 1. Introduction Background and Related Work Threat Model Robust Style Mimicry Experimental Setup Results 6.1 Main Findings: All Protections are Easily Circumvented 6.2 Analysis 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

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Software

What Happens When AI Tries to Mimic Protected Art?

Table of Links Abstract and 1. Introduction Background and Related Work Threat Model Robust Style Mimicry Experimental Setup Results 6.1 Main Findings: All Protections are Easily Circumvented 6.2 Analysis 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

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