{
  "id": 146668,
  "title": "Deep Learning or Traditional Steganalysis?",
  "url": "/competitions/alaska2-image-steganalysis/discussion/146668",
  "author_name": "",
  "post_date": "2020-04-28T03:58:30.186521600Z",
  "votes": null,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Is SRNet still the best method of image steganalysis?</p>",
  "messages": [
    {
      "id": "823959",
      "postDate": "04/28/2020 03:58:30",
      "content": "<p>Is SRNet still the best method of image steganalysis?</p>",
      "rawMarkdown": "Is SRNet still the best method of image steganalysis?",
      "votes": null
    },
    {
      "id": "824091",
      "postDate": "04/28/2020 06:36:27",
      "content": "<p>Hello there,</p>\n\n<p>Excellent question. I am also wondering. Especially because SRNet has been quite amazing to detect outliers, yet the way we embedded message (adjusting for each image) may prevent this advantage.\nLet's wait and see</p>",
      "rawMarkdown": "Hello there,\n\nExcellent question. I am also wondering. Especially because SRNet has been quite amazing to detect outliers, yet the way we embedded message (adjusting for each image) may prevent this advantage.\nLet's wait and see",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 824091,
      "author_name": "remicogranne",
      "author_url": "",
      "post_date": "04/28/2020 06:36:27",
      "content": "<p>Hello there,</p>\n\n<p>Excellent question. I am also wondering. Especially because SRNet has been quite amazing to detect outliers, yet the way we embedded message (adjusting for each image) may prevent this advantage.\nLet's wait and see</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "823959": "Is SRNet still the best method of image steganalysis?",
    "824091": "Hello there,\n\nExcellent question. I am also wondering. Especially because SRNet has been quite amazing to detect outliers, yet the way we embedded message (adjusting for each image) may prevent this advantage.\nLet's wait and see"
  },
  "source": "meta"
}