Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer
0.1.0 - ci-build
Funded by the European Union

Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer, published by HL7 Europe. This guide is not an authorized publication; it is the continuous build for version 0.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/hl7-eu/flute-requirements/ and changes regularly. See the Directory of published versions

: URS-8 - JSON Representation

Draft as of 2023-10-25

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{
  "resourceType" : "Requirements",
  "id" : "URS-8",
  "text" : {
    "status" : "extensions",
    "div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p><b style=\"color: maroon\">Exception generating Narrative: unexpected non-end of element null::a  at line 61 column 46</b></p></div>"
  },
  "url" : "https://flute.com/Requirements/URS-8",
  "version" : "0.1.0",
  "name" : "URS-8",
  "title" : "URS-8",
  "status" : "draft",
  "date" : "2023-10-25T10:31:30.239Z",
  "publisher" : "HL7 Europe",
  "contact" : [
    {
      "name" : "HL7 Europe",
      "telecom" : [
        {
          "system" : "url",
          "value" : "https://www.hl7.eu"
        }
      ]
    }
  ],
  "description" : "Users whose data is part if the training of a model should be protected to property inference attacks.",
  "purpose" : "Defining the security and privacy requirements for users and stakeholders of the FLUTE platform, which are derived from the threat models and identified attacks within FLUTE.",
  "copyright" : "HL7 Europe",
  "copyrightLabel" : "Federated Learning and mUlti-party computation Techniques for prostatE cancer",
  "actor" : [
    🔗 "https://flute.com/ActorDefinition/AD-User"
  ],
  "statement" : [
    {
      "key" : "URS-8",
      "label" : "As a User, I SHOULD be protected to property inference attacks if my data is part in the training of a model.",
      "conformance" : [
        "SHOULD"
      ],
      "requirement" : "be protected to property inference attacks if my data is part in the training of a model",
      "source" : [
        {
          "display" : "HL7 Europe"
        }
      ]
    }
  ]
}