Introduction
Nightshade studies prompt-specific training-data poisoning and discusses creator resistance to scraping that ignores opt-out requests, connecting technical research with disputes over data control.
View full image ↗Figure 1: the paper’s overview of concept-targeted interventions and model training. Source: v3; the image version is distinct from the initial submission date.
Shan, Shawn; Ding, Wenxin; Passananti, Josephine; Wu, Stanley; Zheng, Haitao; Zhao, Ben Y. · original paper / arXiv · 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 · Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models ↗RESEARCH ACCOUNT
Nightshade studies prompt-specific training-data poisoning and discusses creator resistance to scraping that ignores opt-out requests, connecting technical research with disputes over data control.
ANTI-AI ARCHIVE · Revised 2026-10-03
What the paper investigates
The paper investigates concept-targeted examples, effects on related concepts and combinations of interventions in text-to-image training. Its objective and evaluation setup differ from Glaze’s defence against style-mimicking fine-tuning.
Section sources: Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
Its place in generative-art history
Editorial interpretation: data becomes a site of negotiation and conflict between creators and platforms. The entry records a research proposal and its cultural implications, without treating a technical experiment as an already established institutional right to opt out.
Section sources: Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
Reading limits and versions
The account is bounded by the paper’s threat model and experiments, not a guarantee of real-world effects or a statement of legal permission.
Section sources: Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
Sources for this account
Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 3; proofs and full experiments were not independently audited.
Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 3; 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 paper: compare methods, control or evaluation conditions with Glaze paper.
Nightshade paper: compare methods, control or evaluation conditions with Web-scale image–text data.
Nightshade paper: compare methods, control or evaluation conditions with Diffusion with open weights.
Dates & version record
Date displayed for this node: 2023-10-20 · Historical date recorded for the source: 2023-10-20
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 v3; its date is recorded in the source history.
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Original sources & further reading
These links lead to the cited paper, article, institution or conference page. External texts retain their source languages.
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models
https://arxiv.org/abs/2310.13828
Current cited URL
Read the arXiv abstract, authors and version history, plus the selected figure/page on PDF page 3; proofs and full experiments were not independently audited.
Related archive records
Provenance, translation & verification
Archive node #249 · 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 3; proofs and full experiments were not independently audited. · 022
Date as recorded: 2023-10-20
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models ↗
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative 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. Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models. Art-history node #249. https://salondesrefuses.cn/en/art-history/345
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