{
  "absUrl": "https://arxiv.org/abs/2609.11763",
  "arxivId": "2609.11763",
  "arxivVersion": null,
  "arxivVersionedId": null,
  "authors": [
    {
      "affiliations": [
        "机构信息未在 arXiv HTML 中可靠披露"
      ],
      "name": "Avantika Singh"
    },
    {
      "affiliations": [
        "机构信息未在 arXiv HTML 中可靠披露"
      ],
      "name": "Aurosweta Mahapatra"
    },
    {
      "affiliations": [
        "Center for Language and Speech Processing (CLSP), Johns Hopkins University, Baltimore"
      ],
      "name": "Ismail Rasim Ulgen"
    },
    {
      "affiliations": [
        "Human Language Technology Center of Excellence (HLT COE), Johns Hopkins University, Baltimore"
      ],
      "name": "Nicholas Andrews"
    },
    {
      "affiliations": [
        "Hong Kong Polytechnic University"
      ],
      "name": "Kong Aik Lee"
    },
    {
      "affiliations": [
        "Center for Language and Speech Processing (CLSP), Johns Hopkins University, Baltimore"
      ],
      "name": "Berrak Sisman"
    }
  ],
  "contract": "researcher-sidecars-v1",
  "id": "2609.11763",
  "originalTitle": "Not All Attacks Are Learned Equally in Speech Deepfake Detection",
  "pdfUrl": "https://arxiv.org/pdf/2609.11763.pdf",
  "schemaVersion": 1,
  "type": "preprint"
}