Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation | Paper Citation Record

Observation ae178ca3-6449-4ae5-b646-2f71699d5c3c · outbound

This paper cites Diffusion models beat gans on image synthesis.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Diffusion models beat gans on image synthesis

Reference 1

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Observation 798e9eea-5d79-4df8-9cb8-2bf544cd4b48 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation High- resolution image synthesis with latent diffusion models

Reference 2

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This paper cites Adding conditional control to text-to-image diffusion models.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Adding conditional control to text-to-image diffusion models

Reference 3

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Observation c15de98d-7db3-44b0-a6b5-bf6c47b8b44f · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Instructpix2pix: Learning to follow image editing instructions

Reference 4

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Observation 3276583d-9a6e-417d-9015-c9da188f9bb0 · outbound

This paper cites An image is worth one word: Personalizing text-to-image generation using textual inversion.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation An image is worth one word: Personalizing text-to-image generation using textual inversion

Reference 5

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Observation 0ab474aa-28e1-46e8-8f50-98daedc30f3a · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation LoRA: Low-rank adaptation of large language models

Reference 6

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Observation bbff5479-82fa-412d-938d-09e308ed9667 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 7

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Observation b2c05f46-af36-41e1-8738-da968b2352ff · outbound

This paper cites Inversion-based style transfer with diffusion models.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Inversion-based style transfer with diffusion models

Reference 8

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Observation 1200d0da-9025-4f2e-a7c1-7ca0019f8260 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 9

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Observation 4c12fcd2-06d0-4058-8cdb-a4bbef945940 · outbound

This paper cites Multi- concept customization of text-to-image diffusion.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Multi- concept customization of text-to-image diffusion

Reference 10

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Observation bead447f-8f5b-4640-8a66-5356d8823689 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 11

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Observation 2bc4f192-9ba4-4a22-b778-a18aa042b87e · outbound

This paper cites How to continually adapt text-to-image diffusion models for flexible customization?Advances in Neural Information Processing Systems, 37:130057– 130083, 2024.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation How to continually adapt text-to-image diffusion models for flexible customization?Advances in Neural Information Processing Systems, 37:130057– 130083, 2024

Reference 12

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Observation cc812f7f-f76f-4ad2-9df5-dc137a5535eb · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Repaint: Inpainting using denoising diffusion probabilistic models

Reference 13

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Observation 3f088cb0-c27a-4f29-a19c-8bd7184e4cc0 · outbound

This paper cites Smartbrush: Text and shape guided object inpainting with diffusion model.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Smartbrush: Text and shape guided object inpainting with diffusion model

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:46.632219Z

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Observation ba603abd-7fbe-416e-bd07-45a8f948792d · outbound

This paper cites Personalized face inpainting with diffusion models by parallel visual attention.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Personalized face inpainting with diffusion models by parallel visual attention

Reference 15

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Observation 92d6ccf5-e1ce-432e-8cc1-d6d192c68ca0 · outbound

This paper cites Uni-paint: A unified framework for multimodal image inpainting with pretrained diffusion model.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Uni-paint: A unified framework for multimodal image inpainting with pretrained diffusion model

Reference 16

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Observation 92fb2f58-e2f4-4cb2-a914-cdc552890e8b · outbound

This paper cites Applying current copyright law to artificial intelligence image generators in the context of anderson v.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Applying current copyright law to artificial intelligence image generators in the context of anderson v

Reference 17

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Observation 583a7849-c7f5-4890-a953-d62524a4ae8d · outbound

This paper cites Artists are alarmed by ai—and they’re fighting back.The Washington Post.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Artists are alarmed by ai—and they’re fighting back.The Washington Post

Reference 18

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Observation 6d20acc8-18fc-4221-a666-925912486f63 · outbound

This paper cites Anti-dreambooth: Protecting users from personalized text-to-image synthesis.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Anti-dreambooth: Protecting users from personalized text-to-image synthesis

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.893960Z

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Observation 195121be-e19f-4d2e-9550-7b677db9e26e · outbound

This paper cites Adversarial example does good: Preventing painting imitation from diffusion models via adversarial examples.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Adversarial example does good: Preventing painting imitation from diffusion models via adversarial examples

Reference 20

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Observation 10ab1108-72e2-47e8-a27d-bf18bb15cdf3 · outbound

This paper cites Toward effective protection against diffusion-based mimicry through score distillation.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Toward effective protection against diffusion-based mimicry through score distillation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.715957Z

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Observation 0aec9b46-28ba-4a4e-8dab-cd14294ed6e8 · outbound

This paper cites Glaze: Protecting artists from style mimicry by {Text-to-Image} models.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Glaze: Protecting artists from style mimicry by {Text-to-Image} models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.557385Z

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Observation ff01f74c-12c0-45d8-81a0-a2ca2f18f33b · outbound

This paper cites Raising the cost of malicious ai-powered image editing.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Raising the cost of malicious ai-powered image editing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.406339Z

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Observation eb40584a-bd1e-4fed-b510-d62d2e691b2a · outbound

This paper cites Diffusionguard: A robust defense against malicious diffusion-based image editing.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Diffusionguard: A robust defense against malicious diffusion-based image editing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.278854Z

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Observation b48e0d04-25e1-4d13-a55e-87c0891a5bfe · outbound

This paper cites Diffusion probabilistic model made slim.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Diffusion probabilistic model made slim

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.152843Z

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Observation 54284a1b-6d43-42f4-a266-edff85883971 · outbound

This paper cites Towards understanding cross and self-attention in stable diffusion for text-guided image editing.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Towards understanding cross and self-attention in stable diffusion for text-guided image editing

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:45.007600Z

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Observation 8aeea718-37df-4682-a3ff-2333131e630e · outbound

This paper cites Perturbing attention gives you more bang for the buck: Subtle imaging perturbations that efficiently fool customized diffusion models.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Perturbing attention gives you more bang for the buck: Subtle imaging perturbations that efficiently fool customized diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:44.842207Z

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Observation 9aec7586-a46e-4156-904a-5bcbc17f45b6 · outbound

This paper cites Mist: Towards Improved Adversarial Examples for Diffusion Models.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Mist: Towards Improved Adversarial Examples for Diffusion Models

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Observation 04eae343-414a-474d-8cd8-80dba0c8ae47 · outbound

This paper cites Disrupting Diffusion-based Inpainters with Semantic Digression.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Disrupting Diffusion-based Inpainters with Semantic Digression

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Resolution: verified exact; local_arxiv, observed 2026-08-07T14:17:42.099160Z

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Observation 7865cbf9-648c-4968-93b2-439eaaf756e2 · outbound

This paper cites Advpaint: Protecting images from inpainting manipulation via adversarial attention disruption.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Advpaint: Protecting images from inpainting manipulation via adversarial attention disruption

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:44.704843Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites Decent deepfakes? professional deepfake developers’ ethical considerations and their governance potential.AI and Ethics, pages 1–26, 2024.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Decent deepfakes? professional deepfake developers’ ethical considerations and their governance potential.AI and Ethics, pages 1–26, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:44.542753Z

Source-reported events for the cited work

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Observation 35c80afe-affb-4259-824d-0223c391b8b2 · outbound

This paper cites Denoising diffusion probabilistic models.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Denoising diffusion probabilistic models

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Observation 49842528-7e07-4bb2-b1bd-6a73a5b6160d · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

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Observation d4eab2b0-0241-4e9f-9d60-8fe83cc52805 · outbound

This paper cites Perceiver: General perception with iterative attention.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Perceiver: General perception with iterative attention

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Observation 6d45bea8-e6d9-4031-aaf8-bd4190e0bcd8 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Attention is all you need.Advances in neural information processing systems, 30, 2017

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:40.250975Z

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Observation b8ce73a0-9e44-4cdc-9677-2c6217df9c7c · outbound

This paper cites Auto-Encoding Variational Bayes.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Auto-Encoding Variational Bayes

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Observation c16a7a32-ffad-4ec5-b93e-d4c08541bff1 · outbound

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Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Multi-class face segmentation, 2022

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Observation 933f4b02-d0eb-48ab-b29c-7cbed7a90eed · outbound

This paper cites Microsoft coco: Common objects in context.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Microsoft coco: Common objects in context

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Source-reported events for the cited work

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Observation b3a8f127-bcb0-4d3f-af9b-c91d14b06d47 · outbound

This paper cites Chatgpt (march 2025 version).https://chat.openai.com/, 2025.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Chatgpt (march 2025 version).https://chat.openai.com/, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:44.209739Z

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Observation 95c62a21-5137-4e7d-9fcf-5706cca5ecae · outbound

This paper cites Image information and visual quality.IEEE transactions on image processing, 15(2):430–444, 2006.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Image information and visual quality.IEEE transactions on image processing, 15(2):430–444, 2006

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:44.046155Z

Source-reported events for the cited work

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Observation 49cacafb-7581-4db8-9c86-8cb02f0c09a0 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4): 600–612, 2004.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4): 600–612, 2004

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Observation 7b8acfc6-ebe6-4391-8e34-dd0bcaed06c6 · outbound

This paper cites Springer Science & Business Media, 2005.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Springer Science & Business Media, 2005

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Observation 53c631c7-1e53-4db9-86a4-bf0009e1bd35 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c558547-ed81-4c22-ab19-34d0ac3ca899 · outbound

This paper cites The unreason- able effectiveness of deep features as a perceptual metric.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation The unreason- able effectiveness of deep features as a perceptual metric

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:43.853381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c2179172-cbda-4927-a64f-8fe2fd2b6321 · outbound

This paper cites Clipscore: A reference - free evaluation metric for image captioning.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Clipscore: A reference - free evaluation metric for image captioning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:43.725070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bd5174fa-ac7c-450d-85d3-167009e9f218 · outbound

This paper cites No-reference image quality assessment in the spatial domain.IEEE transactions on image processing, 21(12):4695–4708, 2012.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation No-reference image quality assessment in the spatial domain.IEEE transactions on image processing, 21(12):4695–4708, 2012

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:43.562618Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fa72d2f2-96e6-4053-84b7-54c0e9762491 · outbound

This paper cites IQA-PyTorch: Pytorch toolbox for image quality assessment.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation IQA-PyTorch: Pytorch toolbox for image quality assessment

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:43.137519Z

Source-reported events for the cited work

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Observation b396bf98-64ce-43f3-b629-7c055738a407 · outbound

This paper cites Diffedit: Diffusion- based semantic image editing with mask guidance.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Diffedit: Diffusion- based semantic image editing with mask guidance

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:17:42.713461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ab15c27c-e686-4ae6-955d-d3193d7cb308 · outbound

This paper cites Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing.

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing

Reference 49

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