eval4_audio_config.json

{
    "_description": "Librispeech_dev_clean raw audio classification, contributed by MITRE Corporation",
    "adhoc": null,
    "attack": {
        "knowledge": "white",
        "kwargs": {
            "batch_size": 1,
            "eps": 0.2,
            "eps_step": 0.1,
            "minimal": false,
            "num_random_init": 0,
            "targeted": false
        },
        "module": "art.attacks.evasion",
        "name": "FastGradientMethod",
        "use_label": false
    },
    "dataset": {
        "batch_size": 1,
        "framework": "numpy",
        "module": "armory.data.datasets",
        "name": "librispeech_dev_clean"
    },
    "defense": null,
    "metric": {
        "means": true,
        "perturbation": "linf",
        "record_metric_per_sample": false,
        "task": [
            "categorical_accuracy"
        ]
    },
    "model": {
        "fit": false,
        "fit_kwargs": {
            "fit_batch_size": 16,
            "nb_epochs": 20000
        },
        "model_kwargs": {
            "predict_mode": "all"
        },
        "module": "mycode.sincnet",
        "name": "get_art_model",
        "weights_file": "GARD_my_model_weights.pth",
        "wrapper_kwargs": {
            "clip_values": [
                -1.0,
                1.0
            ]
        }
    },
    "scenario": {
        "kwargs": {},
        "module": "armory.scenarios.audio_classification",
        "name": "AudioClassificationTask"
    },
    "sysconfig": {
        "docker_image": "twosixarmory/pytorch:0.14.2",
        "external_github_repo": ["hkakitani/SincNet", "davidslater/armory-submission-example"],
        "gpus": "all",
        "output_dir": null,
        "output_filename": null,
        "use_gpu": false
    }
}