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# ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation
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[![paper]()](https://eccv2024.ecva.net/)
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[![paper](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/04783.pdf)](https://eccv2024.ecva.net/)
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[![arXiv](https://img.shields.io/badge/arxiv-2402.15429-red)](https://arxiv.org/abs/2402.15429)
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[![poster]()]
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[![poster](https://eccv.ecva.net/virtual/2024/poster/1773)]
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> [Yi Zhang](https://scholar.google.com/citations?user=9E8XJ54AAAAJ&hl=en), [Xingyu Zhao*](https://scholar.google.com/citations?user=SzEBdA8AAAAJ&hl=en), [Yun Tang](https://scholar.google.com/citations?hl=en&user=idlExzkAAAAJ), [Wenjie Ruan](https://scholar.google.com/citations?user=VTASFGEAAAAJ&hl=en),
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[Xiaowei Huang](https://scholar.google.com/citations?user=X4fLCCIAAAAJ&hl=en),

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