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{
    "pk": 30044,
    "title": "Cross-Domain Adversarial Reprogramming of a Recurrent Neural Network",
    "subtitle": null,
    "abstract": "Neural networks are vulnerable to adversarial attacks. These attacks can be untargeted, causing the model to make anyerror, or targeted, causing the model to make a specific error. Adversarial Reprogramming introduces a type of attackthat reprograms the network to perform an entirely new task from its original function. Additional inputs in a pre-trainednetwork can repurpose the network to a different task. Previous work has shown adversarial reprogramming possible insimilar domains, such as an image classification task in ImageNet being repurposed for CIFAR-10. A natural questionis whether such reprogramming is feasible across any task for neural networks a positive answer would have significantimpact both on wider applicability of ANNs, but also require rethinking their security. We attempt for the first timereprogramming across domains, repurposing a text classifier to an image classifier, using a recurrent neural network aprototypical example of a Turing universal network.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Poster Session 3",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/2dz4z9xv",
    "frozenauthors": [
        {
            "first_name": "Alexandra",
            "middle_name": "",
            "last_name": "Proca",
            "name_suffix": "",
            "institution": "Massachusetts Institute of Technology",
            "department": ""
        },
        {
            "first_name": "Andrzej",
            "middle_name": "",
            "last_name": "Banburski",
            "name_suffix": "",
            "institution": "Massachusetts Institute of Technology",
            "department": ""
        },
        {
            "first_name": "Tomaso",
            "middle_name": "",
            "last_name": "Poggio",
            "name_suffix": "",
            "institution": "Massachusetts Institute of Technology",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2020-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/30044/galley/19898/download/"
        }
    ]
}