ACE: Anti-Editing Concept Erasure in Text-to-Image Models | Paper Citation Record

Observation 9410ef68-8216-4a01-a3c4-bc60e1a13688 · outbound

This paper cites GPT-4 Technical Report.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models GPT-4 Technical Report

Reference 1

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Observation 587ee8a2-9090-42ec-9547-50ae0c9168e5 · outbound

This paper cites Nudenet: Neural nets for nudity classification, detection and selective censoring, 2019.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Nudenet: Neural nets for nudity classification, detection and selective censoring, 2019

Reference 2

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Observation c3d548e0-865d-4588-a7fd-4de2decc3761 · outbound

This paper cites Sega: Instructing text-to-image models using semantic guidance.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Sega: Instructing text-to-image models using semantic guidance

Reference 3

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Observation e20937a3-acd0-4eb7-83d8-e405a27aeb0e · outbound

This paper cites Ledits++: Limitless image editing using text-to-image models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Ledits++: Limitless image editing using text-to-image models

Reference 4

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Observation 0e722e11-3a7b-4f49-966a-7f4b54e68fa6 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models In- structpix2pix: Learning to follow image editing instructions

Reference 5

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Observation 91d9b0bf-df19-44cd-b002-c8d92e5da999 · outbound

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

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 6

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Observation e4853477-2161-4797-b0b6-643cb9ba2ee2 · outbound

This paper cites Muse: Text-To-Image Generation via Masked Generative Transformers.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Muse: Text-To-Image Generation via Masked Generative Transformers

Reference 7

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Observation 276ab4d1-33db-47c8-a9c2-281b22b18720 · outbound

This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models

Reference 8

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Observation 55f7ad51-86f2-4006-9572-382436648fc6 · outbound

This paper cites Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models

Reference 9

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Observation 67328e6b-8337-42ab-902a-40c01d9a2f90 · outbound

This paper cites Prompting4debugging: Red- teaming text-to-image diffusion models by finding problem- atic prompts.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Prompting4debugging: Red- teaming text-to-image diffusion models by finding problem- atic prompts

Reference 10

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Observation 0334e276-3043-4afc-8343-e224ea6a42af · outbound

This paper cites Espresso: Robust Concept Filtering in Text-to-Image Models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Espresso: Robust Concept Filtering in Text-to-Image Models

Reference 11

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Observation ac76a0c7-3e0c-412f-977d-a0e0638298a3 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 12

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Observation 8e849da4-70e4-40ba-92ca-d89b71874c54 · outbound

This paper cites VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models VitaGlyph: Vitalizing Artistic Typography with Flexible Dual-branch Diffusion Models

Reference 13

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Observation 44bde5f3-173c-49a4-94ac-40f09552c172 · outbound

This paper cites Erasing concepts from diffusion models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Erasing concepts from diffusion models

Reference 14

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Observation afb7bbfc-c964-496b-917f-6cb874245128 · outbound

This paper cites Unified concept editing in diffusion models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Unified concept editing in diffusion models

Reference 15

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Observation 76acb422-f78c-4443-a7e2-e0e0303c7a4b · outbound

This paper cites Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts

Reference 16

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Observation d18cd1e2-467d-495f-88b5-67c843b50439 · outbound

This paper cites Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models

Reference 17

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Observation 0186a46b-c7db-4cd9-b8a9-133f0a15e54c · outbound

This paper cites Fantastic Copyrighted Beasts and How (Not) to Generate Them.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Fantastic Copyrighted Beasts and How (Not) to Generate Them

Reference 18

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Observation cb11dd8a-5ea8-448a-84f4-6ca6b013673b · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 19

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Observation 2ba09abf-de55-4a02-9c28-3b883ee2e33c · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 20

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Observation f29edfdb-6673-41e3-8f2e-b9fbc168cccb · outbound

This paper cites Classifier-Free Diffusion Guidance.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Classifier-Free Diffusion Guidance

Reference 21

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Observation 77d0eba5-66df-410a-8c25-e1b0ab64366b · outbound

This paper cites All but one: Surgical concept erasing with model preservation in text-to- image diffusion models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models All but one: Surgical concept erasing with model preservation in text-to- image diffusion models

Reference 22

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Observation ddfc83c5-3f89-4b15-84e4-0077cc19a5c9 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

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Observation 62024d71-b12c-45f9-8921-685add0cf408 · outbound

This paper cites Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers

Reference 24

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Observation de083d2e-3116-47ab-8798-af1401bc9cad · outbound

This paper cites Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion

Reference 25

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Observation 270a1cf4-f66b-4ec9-9927-e59930d05ee0 · outbound

This paper cites Ablating con- cepts in text-to-image diffusion models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Ablating con- cepts in text-to-image diffusion models

Reference 26

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Observation 35b00839-c82c-4e22-a6e2-4f065c393077 · outbound

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

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Multi-concept customization of text-to-image diffusion

Reference 27

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Observation f033e529-0b16-4e0a-94a7-fd07dd4c8273 · outbound

This paper cites MagicEraser: Erasing Any Objects via Semantics-Aware Control.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models MagicEraser: Erasing Any Objects via Semantics-Aware Control

Reference 28

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Observation 0b546604-0f6d-4179-a833-87dc463daedf · outbound

This paper cites Self-discovering interpretable diffusion latent di- rections for responsible text-to-image generation.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Self-discovering interpretable diffusion latent di- rections for responsible text-to-image generation

Reference 29

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Observation 22eba0b1-6bd4-4bb6-a847-929c1da63f97 · outbound

This paper cites Text Guided Image Editing with Automatic Concept Locating and Forgetting.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Text Guided Image Editing with Automatic Concept Locating and Forgetting

Reference 30

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Observation 9d3ee440-3df3-4640-8380-0d0b8c12ed39 · outbound

This paper cites Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models

Reference 31

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Observation 19d5023d-9f6c-4577-a05b-a3515a5bf35e · outbound

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ACE: Anti-Editing Concept Erasure in Text-to-Image Models Microsoft coco: Common objects in context

Reference 32

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Observation 8a596a48-10de-44c4-929e-2bb651891c79 · outbound

This paper cites Latent guard: a safety frame- work for text-to-image generation.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Latent guard: a safety frame- work for text-to-image generation

Reference 33

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Observation ddd56f7b-14d4-4e97-acab-898122adce09 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 34

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ACE: Anti-Editing Concept Erasure in Text-to-Image Models Mace: Mass concept erasure in diffu- sion models

Reference 35

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Observation 053cea77-cfa8-43a6-a0eb-49bff602b197 · outbound

This paper cites One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models One-dimensional adapter to rule them all: Concepts diffusion models and erasing applications

Reference 36

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Observation fa6ea1af-cf39-472b-8d1a-26191dd218d7 · outbound

This paper cites Null-text inversion for editing real im- ages using guided diffusion models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Null-text inversion for editing real im- ages using guided diffusion models

Reference 37

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ACE: Anti-Editing Concept Erasure in Text-to-Image Models T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 38

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Observation a1be4769-e784-462c-8103-2ec582c923d3 · outbound

This paper cites Direct Unlearning Optimization for Robust and Safe Text-to-Image Models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Direct Unlearning Optimization for Robust and Safe Text-to-Image Models

Reference 39

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ACE: Anti-Editing Concept Erasure in Text-to-Image Models Zero-shot image-to-image translation

Reference 40

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Observation fc52f4a8-9abd-461a-a02f-7850f4c954b3 · outbound

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ACE: Anti-Editing Concept Erasure in Text-to-Image Models Robust Concept Erasure Using Task Vectors

Reference 41

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Observation 41969c39-de51-4e5c-8514-2f799df33f60 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 42

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Observation d1b20158-014a-4e3b-8b26-86a1abb4bc74 · outbound

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ACE: Anti-Editing Concept Erasure in Text-to-Image Models Safe-clip: Removing nsfw concepts from vision-and-language models

Reference 43

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Observation 3d9f5c97-d770-4719-b2a9-df1e20975138 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Learning transferable visual models from natural language supervi- sion

Reference 44

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Observation de4b62e2-6cd5-4277-9cb4-f3c47f36ae79 · outbound

This paper cites Red-Teaming the Stable Diffusion Safety Filter.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Red-Teaming the Stable Diffusion Safety Filter

Reference 45

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Observation 617419e1-df47-4c89-95f7-8677aac23a2b · outbound

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ACE: Anti-Editing Concept Erasure in Text-to-Image Models High-resolution image synthesis with latent diffusion models

Reference 46

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Observation 62b61f44-d2f9-45aa-8fbe-9205e915d33e · outbound

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

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 47

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Observation 41413e49-e769-48e4-977d-956431f41506 · outbound

This paper cites Safe latent diffusion: Mitigating inappro- priate degeneration in diffusion models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Safe latent diffusion: Mitigating inappro- priate degeneration in diffusion models

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:30.473018Z

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Observation 3b0a1c20-8cd7-4c9e-b1c6-983f7b809fa0 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 49

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Observation 0973f413-8a81-444c-8cf7-c4c5f8f6528f · outbound

This paper cites In- stantbooth: Personalized text-to-image generation without test-time finetuning.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models In- stantbooth: Personalized text-to-image generation without test-time finetuning

Reference 50

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Observation 407afc0b-2ff3-4ede-96f3-86021824c827 · outbound

This paper cites RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model

Reference 51

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Source-reported events for the cited work

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Observation e29f444c-0267-4d34-892d-11afbfc72269 · outbound

This paper cites STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models STEREO: A Two-Stage Framework for Adversarially Robust Concept Erasing from Text-to-Image Diffusion Models

Reference 52

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Observation 654ffa5d-c33b-4f37-b11e-810984c88279 · outbound

This paper cites Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?

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Observation 31ee2947-41d2-4ac7-9d1b-6ed6e2b66fbb · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Plug-and-play diffusion features for text-driven image-to-image translation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.777049Z

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Observation d1dbefbb-4eb7-4b4d-bf21-dbbd238c2ab7 · outbound

This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.780820Z

Source-reported events for the cited work

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Observation 82aecb07-56ed-4af7-b9a6-3783d7562431 · outbound

This paper cites Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.784590Z

Source-reported events for the cited work

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Observation 9baca540-dfa0-400e-b507-f9836bd9b181 · outbound

This paper cites Masterweaver: Taming ed- itability and face identity for personalized text-to-image gen- eration.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Masterweaver: Taming ed- itability and face identity for personalized text-to-image gen- eration

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:30.431989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a724dc23-c330-4f54-8614-77197662abc7 · outbound

This paper cites Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.792079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b7a8537-20f7-4bc4-a829-67d2051f5675 · outbound

This paper cites Paint by example: Exemplar-based image editing with diffusion mod- els.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Paint by example: Exemplar-based image editing with diffusion mod- els

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.796034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef7c7b21-b064-4daa-bce5-0c397ee4abeb · outbound

This paper cites Mma-diffusion: Multimodal attack on diffusion models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Mma-diffusion: Multimodal attack on diffusion models

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:30.411539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a18ffc2c-f70a-44e4-ae51-a893864294b6 · outbound

This paper cites GuardT2I: Defending Text-to-Image Models from Adversarial Prompts.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models GuardT2I: Defending Text-to-Image Models from Adversarial Prompts

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.802369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4e83978-d915-405e-923a-866d2a56755d · outbound

This paper cites SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.805806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69d895f2-04aa-4585-82f6-0f6aeb444bda · outbound

This paper cites Forget-me-not: Learning to forget in text-to-image diffusion models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Forget-me-not: Learning to forget in text-to-image diffusion models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.809616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00a19bb5-2c19-4d7f-a8f6-9edb0376931a · outbound

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

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Adding conditional control to text-to-image diffusion models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.813420Z

Source-reported events for the cited work

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Observation 14c56838-bd16-44c6-bbaa-1567d1bb06a3 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models The unreasonable effectiveness of deep features as a perceptual metric

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.817583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34ee787e-5e51-4a3b-8e1f-7a6605313365 · outbound

This paper cites ControlVideo: Training-free Controllable Text-to-Video Generation.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models ControlVideo: Training-free Controllable Text-to-Video Generation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.821642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e116805-142c-41f0-b9f1-66915fe8a60c · outbound

This paper cites Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.825666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14eee300-3017-4423-9af2-929ecf63ad14 · outbound

This paper cites To gener- ate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models To gener- ate or not? safety-driven unlearned diffusion models are still easy to generate unsafe images

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:30.372431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f1f223d9-9856-4c86-9453-19f67d8f7cac · outbound

This paper cites Separable Multi-Concept Erasure from Diffusion Models.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Separable Multi-Concept Erasure from Diffusion Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T22:30:29.833265Z

Source-reported events for the cited work

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Observation f5b0c13b-d856-46a0-8574-184e0be584eb · outbound

This paper cites Full body shot of man.

ACE: Anti-Editing Concept Erasure in Text-to-Image Models Full body shot of man

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:30:30.357995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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