mithridatium/codemeta.json at main · oss-slu/mithridatium · GitHub

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{
  "name": "mithridatium",
  "@context": "https://w3id.org/codemeta/3.0",
  "applicationCategory": "Security and protection software",
  "author": [
    {
      "affiliation": {
        "name": "Saint Louis University",
        "type": "Organization"
      },
      "email": "pelumi.oluwategbe@slu.edu",
      "familyName": "Oluwategbe",
      "id": "https://pelumi-tegbe.vercel.app/",
      "givenName": "Pelumi",
      "type": "Person"
    },
    {
      "affiliation": {
        "name": "Saint Louis University",
        "type": "Organization"
      },
      "email": "will.phoenix@slu.edu",
      "familyName": "Phoenix",
      "id": "_:author_2",
      "givenName": "William",
      "type": "Person"
    },
    {
      "affiliation": {
        "name": "Saint Louis University",
        "type": "Organization"
      },
      "email": "gustavo.lucca@slu.edu",
      "familyName": "Lucca",
      "id": "_:author_3",
      "givenName": "Gustavo",
      "type": "Person"
    },
    {
      "affiliation": {
        "name": "Saint Louis University",
        "type": "Organization"
      },
      "email": "payton.guffey@slu.edu",
      "familyName": "Guffey",
      "id": "_:author_4",
      "givenName": "Payton",
      "type": "Person"
    },
    {
      "roleName": "Technical Lead",
      "startDate": "2025-08-27",
      "schema:author": "https://pelumi-tegbe.vercel.app/",
      "type": "Role"
    },
    {
      "roleName": "Developer",
      "startDate": "2025-08-27",
      "schema:author": "_:author_2",
      "type": "Role"
    },
    {
      "roleName": "Developer",
      "startDate": "2025-08-27",
      "schema:author": "_:author_3",
      "type": "Role"
    },
    {
      "roleName": "Developer",
      "startDate": "2025-08-27",
      "schema:author": "_:author_4",
      "type": "Role"
    }
  ],
  "codeRepository": "https://github.com/oss-slu/mithridatium",
  "dateCreated": "2025-08-28",
  "description": "Mithridatium is a research-driven project aimed at detecting backdoors and data poisoning in downloaded pretrained models or pipelines (e.g., from Hugging Face).   Our goal is to provide a modular, command-line tool that helps researchers and engineers trust the models they use.",
  "developmentStatus": "active",
  "issueTracker": "https://github.com/oss-slu/mithridatium/issues",
  "keywords": [
    "data privacy",
    "machine-learning",
    "python",
    "security"
  ],
  "license": "https://spdx.org/licenses/MIT-Modern-Variant",
  "programmingLanguage": [
    "Python"
  ],
  "type": "SoftwareSourceCode"
}