Monet: Measuring the Ecosystem of Open-Source Text-to-Image Models Tailored for Harmful Services

arXiv:2609.24134 · cs.CR · Submitted 2026-09-21 · Read on arXiv

cs.CR

Submitted: 2026-09-21

Updated: 2026-09-21

Code: https://github.com/claude-office-skills/ClawFans

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Alignment — 8× in this paper · explained in 1 episode
• Diffusion Model — 7× in this paper · explained in 8 episodes
• Diffusion Models — 7× in this paper · explained in 6 episodes
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Flow Matching — 4× in this paper · explained in 7 episodes
• Generative AI — 4× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Semantic Similarity — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• World Model — 3× in this paper · explained in 7 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Annotator Agreement — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• IEEE Symposium on Security and Privacy — 2× in this paper
• Latent Diffusion Model — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Provenance — 2× in this paper · explained in 3 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• CVF International Conference on Computer Vision — 1× in this paper
• Embeddings — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• International Requirements Engineering Conference — 1× in this paper
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Not Safe For Work — 1× in this paper
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes
• Customization under Fire: Plugin Poisoning in Text-to-Image Ecosystem
• Illustrious: an Open Advanced Illustration Model
• Harm Amplification in Text-to-Image Models
• An Introduction to Flow Matching and Diffusion Models
• FairJudge: Abstention-Aware Multimodal Judges for Fairness and Alignment Evaluation in Text-to-Image Models
• SteerDiff: Steering towards Safe Text-to-Image Diffusion Models

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