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  "author": "Christos Kyrkou",
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  "author": "Christos Kyrkou",
            
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  "doi": "10.57702/2nyc0x84",
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  "doi": "10.57702/2nyc0x84",
            
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  "doi_date_published": "2024-12-16",
            
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  "extra_authors": [
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    {
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    {
            
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      "extra_author": "Andreas Papachristodoulou",
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      "extra_author": "Andreas Papachristodoulou",
            
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      "orcid": ""
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Theocharis Theocharides",
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      "extra_author": "Theocharis Theocharides",
            
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      "orcid": ""
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      "description": "",
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      "description": "",
            
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      "name": "autonomous-vehicles",
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      "name": "autonomous-vehicles",
            
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      "title": "Autonomous Vehicles"
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      "title": "Autonomous Vehicles"
            
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  "name": "diverse-dataset-for-image-deterioration-attacks",
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  "name": "diverse-dataset-for-image-deterioration-attacks",
            
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  "notes": "The dataset used in this paper is a diverse dataset 
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  "notes": "The dataset used in this paper is a diverse dataset 
            
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created with real and synthetic images demonstrating that by 
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created with real and synthetic images demonstrating that by 
            
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exploiting spatio-temporal information combined with multi-component 
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exploiting spatio-temporal information combined with multi-component 
            
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loss we significantly increase robustness against adverse image 
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loss we significantly increase robustness against adverse image 
            
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effects",
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  "title": "Diverse dataset for image deterioration attacks",
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