most citedAdversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey

4 citations · 4 across the 5 of their papers we have counts for

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5 papers

cs.CR2025

Metaphor-based Jailbreak Attacks on Text-to-Image Models

Chenyu Zhang, Lanjun Wang, Yiwen Ma +3

Text-to-image (T2I) models commonly incorporate defense mechanisms to prevent the generation of sensitive images. Unfortunately, recent jailbreak attacks have shown that adversaria…

cs.CR2025

T2I-RiskyPrompt: A Benchmark for Safety Evaluation, Attack, and Defense on Text-to-Image Model

Chenyu Zhang, Tairen Zhang, Lanjun Wang +3

Using risky text prompts, such as pornography and violent prompts, to test the safety of text-to-image (T2I) models is a critical task. However, existing risky prompt datasets are…

cs.CR2025

Reason2Attack: Jailbreaking Text-to-Image Models via LLM Reasoning

Chenyu Zhang, Lanjun Wang, Yiwen Ma +2

Text-to-Image(T2I) models typically deploy safety filters to prevent the generation of sensitive images. Unfortunately, recent jailbreaking attack methods manually design instructi…

cs.CV2025

Domain Adaptation from Generated Multi-Weather Images for Unsupervised Maritime Object Classification

Dan Song, Shumeng Huo, Wenhui Li +3

The classification and recognition of maritime objects are crucial for enhancing maritime safety, monitoring, and intelligent sea environment prediction. However, existing unsuperv…

cs.CR2024★ 4 cited

Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey

Chenyu Zhang, Mingwang Hu, Wenhui Li +1

Recently, the text-to-image diffusion model has gained considerable attention from the community due to its exceptional image generation capability. A representative model, Stable…