ANTI-AI ARCHIVE
ART-HISTORY NODE / 218 · 2023-02-08

Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models

Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models

Shan, Shawn; Cryan, Jenna; Wenger, Emily; Zheng, Haitao; Hanocka, Rana; Zhao, Ben Y.

Introduction

Glaze studies small image perturbations intended to disrupt style-mimicking fine-tuning and includes artist studies, making refusal of model learning part of the technical history of generative art.

ORIGINAL DOCUMENT#218
Figure 16: a Glaze-treated image of Karla Ortiz’s Musa Victoriosa and the authors’ mimicry experiment. “Plagiarized” is the paper’s wording, not a legal finding.View full image ↗

Figure 16: a Glaze-treated image of Karla Ortiz’s Musa Victoriosa and the authors’ mimicry experiment. “Plagiarized” is the paper’s wording, not a legal finding. Source: v6; the image version is distinct from the initial submission date.

Shan, Shawn; Cryan, Jenna; Wenger, Emily; Zheng, Haitao; Hanocka, Rana; Zhao, Ben Y. · original paper / arXiv; original artwork: Karla Ortiz, Musa Victoriosa · Rights in the paper and depicted works remain with their holders. Research quotation does not establish an open licence; republication rights await independent review.

Source · Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models ↗

RESEARCH ACCOUNT

Glaze studies small image perturbations intended to disrupt style-mimicking fine-tuning and includes artist studies, making refusal of model learning part of the technical history of generative art.

ANTI-AI ARCHIVE · Revised 2026-10-03

What the paper investigates

The paper describes the design and evaluation of style cloaking: altering the learning signal while seeking to keep visual changes acceptable to viewers. Artist studies and model experiments examine usability, tolerability and performance under the countermeasures tested by the authors.

Section sources: Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models

Its place in generative-art history

Editorial interpretation: artists seek to change the conditions under which data systems acquire and use their work. The technical history therefore includes practices of control and refusal alongside expanding capacities to generate media.

Section sources: Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models

Reading limits and versions

Effectiveness depends on tested models and conditions, not a permanent guarantee. This entry dates the paper separately from software release.

Section sources: Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models

Sources for this account

Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models ↗

Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 14; proofs and full experiments were not independently audited.

Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 14; proofs and full experiments were not independently audited. The account and translation are AI-assisted, pending independent human review. Section references identify evidence without claiming independent verification of every historical statement.

Continue with a comparative question

Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models ↗

Glaze paper: compare methods, control or evaluation conditions with Nightshade paper.

LAION-5B: An open large-scale dataset for training next generation image-text models ↗

Glaze paper: compare methods, control or evaluation conditions with Web-scale image–text data.

Stable Diffusion public model release ↗

Glaze paper: compare methods, control or evaluation conditions with Diffusion with open weights.

Dates & version record

Date displayed for this node: 2023-02-08 · Historical date recorded for the source: 2023-02-08

The timeline uses the initial arXiv submission, distinct from conference publication, model release and the archive addition on 3 October 2026. The account and image refer to v6; its date is recorded in the source history.

These dates refer to the historical event or recorded version, not this page’s publication date. The original date precision and unresolved questions are retained.

Original sources & further reading

These links lead to the cited paper, article, institution or conference page. External texts retain their source languages.

01
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models ↗

Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models

https://arxiv.org/abs/2302.04222

Current cited URL

Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 14; proofs and full experiments were not independently audited.

Related archive records

Read the related case and research context ↗

Provenance, translation & verification

Archive node #218 · Initial research-paper submission; methods, evaluation and production conditions

Research materials & supplement references · 1

Recent research papers: additions and reconciled sources since 2022 · Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 14; proofs and full experiments were not independently audited. · 014
Date as recorded: 2023-02-08
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models ↗
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models

Archive account based on the listed research materials, not a full translation of the linked work. AI-assisted translation; independent human review pending.

Official material was read within the stated scope; see the source note for reading limits and outstanding checks.

Cite this node

ANTI-AI ARCHIVE. Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models. Art-history node #218. https://salondesrefuses.cn/en/art-history/337

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