Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models GPT-4 Technical Report

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This paper cites Elijah: Eliminating backdoors injected in diffusion models via distribution shift.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Elijah: Eliminating backdoors injected in diffusion models via distribution shift

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This paper cites Defense-prefix for pre- venting typographic attacks on clip.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Defense-prefix for pre- venting typographic attacks on clip

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

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models In- structpix2pix: Learning to follow image editing instructions

Reference 4

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This paper cites Controllable generation with text-to-image diffusion models: A survey.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Controllable generation with text-to-image diffusion models: A survey

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This paper cites Trojdiff: Trojan at- tacks on diffusion models with diverse targets.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Trojdiff: Trojan at- tacks on diffusion models with diverse targets

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This paper cites Rbformer: improve adversarial robustness of trans- former by robust bias.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Rbformer: improve adversarial robustness of trans- former by robust bias

Reference 7

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This paper cites Un- veiling typographic deceptions: Insights of the typographic vulnerability in large vision-language model.European Con- ference on Computer Vision (ECCV), 2024.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Un- veiling typographic deceptions: Insights of the typographic vulnerability in large vision-language model.European Con- ference on Computer Vision (ECCV), 2024

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This paper cites Villan- diffusion: A unified backdoor attack framework for diffu- sion models.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Villan- diffusion: A unified backdoor attack framework for diffu- sion models

Reference 9

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This paper cites Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Style injec- tion in diffusion: A training-free approach for adapting large- scale diffusion models for style transfer

Reference 10

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This paper cites Instructblip: Towards general- purpose vision-language models with instruction tuning,.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Instructblip: Towards general- purpose vision-language models with instruction tuning,

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This paper cites Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language mod- els.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language mod- els

Reference 12

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This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 13

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This paper cites HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models HTS-Attack: Heuristic Token Search for Jailbreaking Text-to-Image Models

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Generative adversarial networks

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This paper cites A Survey on Responsible Generative AI: What to Generate and What Not.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models A Survey on Responsible Generative AI: What to Generate and What Not

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This paper cites Detoxify.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Detoxify

Reference 17

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This paper cites Defending against Backdoor Attack on Deep Neural Networks.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Defending against Backdoor Attack on Deep Neural Networks

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

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 19

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This paper cites Denoising dif- fusion probabilistic models.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Denoising dif- fusion probabilistic models

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

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models All but one: Surgical concept erasing with model preservation in text-to- image diffusion models

Reference 21

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This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

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This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Progressive Growing of GANs for Improved Quality, Stability, and Variation

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Auto-Encoding Variational Bayes

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Self-discovering interpretable diffusion latent di- rections for responsible text-to-image generation

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Spd-ddpm: Denoising diffu- sion probabilistic models in the symmetric positive definite space

Reference 27

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This paper cites Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Which model generated this image? a model- agnostic approach for origin attribution

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Improved Baselines with Visual Instruction Tuning

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Visual Instruction Tuning

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Latent guard: a safety frame- work for text-to-image generation

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Multimodal prag- matic jailbreak on text-to-image models

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Large-scale celebfaces attributes (celeba) dataset

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Information constraints on auto-encoding variational bayes

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models An image is worth 1000 lies: Transferability of adversarial images across prompts on vision-language models

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models A holistic approach to undesired content detection in the real world

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Dreamguider: Improved Training free Diffusion-based Conditional Generation

Reference 40

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models At-ddpm: Restoring faces degraded by atmospheric tur- bulence using denoising diffusion probabilistic models

Reference 41

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Contrastive denoising score for text-guided latent diffusion image editing

Reference 42

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models White-box Membership Inference Attacks against Diffusion Models

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Safe-clip: Removing nsfw concepts from vision-and-language models

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Learning transferable visual models from natural language supervision

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Learning transferable visual models from natural language supervi- sion

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Hierarchical Text-Conditional Image Generation with CLIP Latents

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Red-Teaming the Stable Diffusion Safety Filter

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Gener- ating diverse high-fidelity images with vq-vae-2

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models High-resolution image synthesis with latent diffusion models

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Raising the Cost of Malicious AI-Powered Image Editing

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Deep unsupervised learning using nonequilibrium thermodynamics

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Emu: Generative pretraining in multimodality

Reference 54

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This paper cites Generative multimodal mod- els are in-context learners.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Generative multimodal mod- els are in-context learners

Reference 55

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This paper cites LLaMA: Open and Efficient Foundation Language Models.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models LLaMA: Open and Efficient Foundation Language Models

Reference 56

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This paper cites Gcd-ddpm: A generative change detection model based on difference-feature guided ddpm.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Gcd-ddpm: A generative change detection model based on difference-feature guided ddpm

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:41:17.325116Z

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Observation 31f190b1-04b0-4372-8834-c35e970dbfb7 · outbound

This paper cites Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection

Reference 58

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Observation e8f7d067-0e3b-4097-8732-9a4e1e7fa217 · outbound

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Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Sneakyprompt: Jailbreaking text-to-image generative models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:41:17.307571Z

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Observation cc4ba249-05ba-46ef-9cf8-ef0e9ef2fa5b · outbound

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

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 60

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Observation 8c07f2aa-0b95-473c-8239-696ad4c3029f · outbound

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

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Inversion-based style transfer with diffusion models

Reference 61

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Observation d2ec859b-e882-477c-a0fb-e1c0ca8066d8 · outbound

This paper cites Defensive unlearning with adversarial training for robust concept erasure in diffusion models.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models Defensive unlearning with adversarial training for robust concept erasure in diffusion models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:41:17.274376Z

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Observation b5acb7ce-93af-49d7-8d8b-8ddd9a55b355 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 63

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