[
  {
    "id": "dl-16-1",
    "type": "report",
    "title": "Explaining and Harnessing Adversarial Examples",
    "author": [
      {
        "given": "Ian J.",
        "family": "Goodfellow"
      },
      {
        "given": "Jonathon",
        "family": "Shlens"
      },
      {
        "given": "Christian",
        "family": "Szegedy"
      }
    ],
    "container-title": "arXiv:1412.6572",
    "issued": {
      "date-parts": [
        [
          2014
        ]
      ]
    },
    "DOI": "",
    "URL": "https://arxiv.org/abs/1412.6572"
  },
  {
    "id": "dl-16-2",
    "type": "paper-conference",
    "title": "Towards Deep Learning Models Resistant to Adversarial Attacks",
    "author": [
      {
        "given": "Aleksander",
        "family": "Madry"
      },
      {
        "given": "Aleksandar",
        "family": "Makelov"
      },
      {
        "given": "Ludwig",
        "family": "Schmidt"
      },
      {
        "given": "Dimitris",
        "family": "Tsipras"
      },
      {
        "given": "Adrian",
        "family": "Vladu"
      }
    ],
    "container-title": "International Conference on Learning Representations",
    "issued": {
      "date-parts": [
        [
          2018
        ]
      ]
    },
    "DOI": "",
    "URL": "https://openreview.net/pdf?id=rJzIBfZAb"
  },
  {
    "id": "dl-16-3",
    "type": "paper-conference",
    "title": "Certified Adversarial Robustness via Randomized Smoothing",
    "author": [
      {
        "given": "Jeremy",
        "family": "Cohen"
      },
      {
        "given": "Elan",
        "family": "Rosenfeld"
      },
      {
        "given": "J. Zico",
        "family": "Kolter"
      }
    ],
    "container-title": "Proceedings of the 36th International Conference on Machine Learning",
    "issued": {
      "date-parts": [
        [
          2019
        ]
      ]
    },
    "DOI": "",
    "URL": "https://proceedings.mlr.press/v97/cohen19c.html"
  }
]