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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Zhangheng Li",
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  "author": "Zhangheng Li",
            
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  "author_email": "",
            
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  "citation": [],
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  "defined_in": "https://doi.org/10.48550/arXiv.2403.09450",
            
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  "doi": "10.57702/r6xkos4m",
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  "doi": "10.57702/r6xkos4m",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-02",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Junyuan Hong",
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      "extra_author": "Junyuan Hong",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Bo Li",
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      "extra_author": "Bo Li",
            
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      "orcid": ""
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    },
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    {
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      "extra_author": "Zhangyang Wang",
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      "extra_author": "Zhangyang Wang",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "description": "",
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      "name": "fine-tuning",
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      "name": "fine-tuning",
            
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      "title": "Fine-tuning"
            
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      "name": "privacy-attack",
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      "name": "privacy-attack",
            
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      "title": "Privacy Attack"
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      "title": "Privacy Attack"
            
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  "name": "shake-to-leak--s2l--dataset",
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  "name": "shake-to-leak--s2l--dataset",
            
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  "notes": "The dataset used in the Shake-to-Leak (S2L) attack, which 
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  "notes": "The dataset used in the Shake-to-Leak (S2L) attack, which 
            
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is a fine-tuning attack on diffusion models. The dataset is a 
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is a fine-tuning attack on diffusion models. The dataset is a 
            
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synthetic private set P generated by fine-tuning a pre-trained 
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synthetic private set P generated by fine-tuning a pre-trained 
            
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diffusion model on a target prompt pz.",
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diffusion model on a target prompt pz.",
            
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  "title": "Shake-to-Leak (S2L) dataset",
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  "title": "Shake-to-Leak (S2L) dataset",
            
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}
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}