mlsanityData to 14 Oct 2026

PixJail: Self-Evolving Paper-to-Pipeline Reproduction for Text-to-Image Jailbreak Evaluation

arXiv 2606.24081 ↗First posted 23 Jun 2026cs.CR cs.AIcited by 0

On the map: LLM safety and security → Vision-language and text-to-image safety

Abstract (arXiv)

As Text-to-Image (T2I) jailbreak techniques evolve rapidly, existing benchmarks and reproduction workflows often struggle to keep pace. More importantly, T2I jailbreak evaluation is not a single prompt-level test, but a pipeline-level problem shaped by multiple stages, including prompt transformation, image generation, safety filtering, and multimodal judging. This makes results across papers difficult to reliably reproduce and fairly compare. To bridge this gap, we propose PixJail, a self-evolving paper-to-pipeline agent framework for reproducible T2I jailbreak evaluation. Given a T2I jailbreak paper and optional reference code, PixJail rapidly constructs a paper-specific attack module and a runnable evaluation pipeline under a unified contract, while faithfully reproducing the original experimental results. PixJail further maintains a memory bank that stores paper digests, attack evolution patterns, reusable templates, failure cases, and versioned artifacts, enabling future reproduction efforts to reuse prior experience. We reproduce eleven representative T2I jailbreak methods, including both code-available and code-unavailable papers. Under their original settings, our framework accurately recovers prior results with minimal error (2.1% average, 0% median). We hope that PixJail can serve as a unified foundation for future T2I jailbreak reproduction and evaluation, significantly reducing manual effort.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Vision-language and text-to-image safety, one of 12 directions in LLM safety and security. Builds on 29 of its 35 references that are in the map. First posted on arXiv 23 Jun 2026.

Builds on

29 of 35 references.

Closest ancestors · 13

Same direction, newest first

  1. 2026Low-Effort Jailbreak Attacks Against Text-to-Image Safety Filters2 Apr
  2. 2025GenBreak: Red Teaming Text-to-Image Generators Using Large Language Models11 Jun
  3. 2025Reason2Attack: Jailbreaking Text-to-Image Models via LLM Reasoning23 Mar
  4. 2025FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts28 Feb
  5. 2024Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey14 Nov
  6. 2024HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models25 Aug
  7. 2024Perception-guided Jailbreak against Text-to-Image Models20 Aug
  8. 2024DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization18 Aug
  9. 2024Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models1 Aug
  10. 2024Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models2 Apr
  11. 2023Harnessing LLM to Attack LLM-Guarded Text-to-Image Models12 Dec
  12. 2023Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?16 Oct
1 more
  1. 2023SneakyPrompt: Jailbreaking Text-to-image Generative Models20 May

Other references · 16

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  2. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,356
  3. 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,373
  4. 2022Diffusion Models: A Comprehensive Survey of Methods and Applicationscited by 1,114
  5. 2024The AI Scientist: Towards Fully Automated Open-Ended Scientific Discoverycited by 1,071
  6. 2022Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Modelscited by 513
  7. 2025Agent Laboratory: Using LLM Agents as Research Assistantscited by 425
  8. 2025PaperBench: Evaluating AI's Ability to Replicate AI Researchcited by 321
  9. 2024Jailbreak Attacks and Defenses Against Large Language Models: A Surveycited by 230
  10. 2023MMA-Diffusion: MultiModal Attack on Diffusion Modelscited by 194
  11. 2024CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmarkcited by 123
  12. 2023Self-correcting LLM-controlled Diffusion Modelscited by 113
4 more
  1. 2024SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoningcited by 94
  2. 2025Paper2Code: Automating Code Generation from Scientific Papers in Machine Learningcited by 70
  3. 2025T2I-RiskyPrompt: A Benchmark for Safety Evaluation, Attack, and Defense on Text-to-Image Modelcited by 17
  4. 2026Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarkingcited by 2

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2026OrchJail: Jailbreaking Tool-Calling Text-to-Image Agents by Orchestration-Guided Fuzzing
  2. 2026JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization
  3. 2026A Multimodal Automatic Redteaming Evaluation based on Atomic Jailbreak Strategy Decoupling and Combination
  4. 2025Token-Level Constraint Boundary Search for Jailbreaking Text-to-Image Models
  5. 2026JailbreakOPT: Tool-Assisted Iterative Jailbreak Prompt Optimization
  6. 2024Automatic Jailbreaking of the Text-to-Image Generative AI Systems
  7. 2026Which Image Property Carries the Jailbreak? A Controlled Dissection of Image-to-Text Jailbreaks
  8. 2024Chain-of-Jailbreak Attack for Image Generation Models via Editing Step by Step