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20232026
most citedFuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

2 citations · 3 across the 10 of their papers we have counts for

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cs.CV2025

Beyond the Safety Tax: Mitigating Unsafe Text-to-Image Generation via External Safety Rectification

Xiangtao Meng, Yingkai Dong, Ning Yu +3

Text-to-image (T2I) generative models have achieved remarkable visual fidelity, yet remain vulnerable to generating unsafe content. Existing safety defenses typically intervene int…

cs.CV2023★ 1 cited

AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection

Xiangtao Meng, Li Wang, Shanqing Guo +2

While DeepFake applications are becoming popular in recent years, their abuses pose a serious privacy threat. Unfortunately, most related detection algorithms to mitigate the abuse…