Welcome to ALASKA image steganalysis challenge !\nWe are very exciting to introduce you to our difficult daily problem: detecting data hidden within digital image.\nAs written in the presentation, we are a bunch of academic researchers who are trying to push the community towards \"real-life\" application. We felt that we are facing interesting problems that would be of very broad interest. To summarize the main challenge are (1) extremely weak signal, the data hidden in LSB (=Least Significant Bits) of pixels / DCT coefficient (2) the very high heterogeneity of digital image and their noise and (3) the need of having detection method with low false alarm.
\n\nIf you want to know more about steganography and steganalysis and especially about the current art, I strongly recommend to on http://dde.binghamton.edu/download/ which proposes a lot of resources that could be good starting point. \nI would especially point out to the proposal that won the ALASKA#1 challenge:\nhttps://github.com/YassineYousfi/alaska
\n\nHave fun !\nLooking forward to meeting you in New York city for IEEE WIFS conference !
\n\nRémi
", "messages": [ { "id": "823661", "postDate": "04/27/2020 19:40:01", "content": "Welcome to ALASKA image steganalysis challenge !\nWe are very exciting to introduce you to our difficult daily problem: detecting data hidden within digital image.\nAs written in the presentation, we are a bunch of academic researchers who are trying to push the community towards \"real-life\" application. We felt that we are facing interesting problems that would be of very broad interest. To summarize the main challenge are (1) extremely weak signal, the data hidden in LSB (=Least Significant Bits) of pixels / DCT coefficient (2) the very high heterogeneity of digital image and their noise and (3) the need of having detection method with low false alarm.
\n\nIf you want to know more about steganography and steganalysis and especially about the current art, I strongly recommend to on http://dde.binghamton.edu/download/ which proposes a lot of resources that could be good starting point. \nI would especially point out to the proposal that won the ALASKA#1 challenge:\nhttps://github.com/YassineYousfi/alaska
\n\nHave fun !\nLooking forward to meeting you in New York city for IEEE WIFS conference !
\n\nRémi
", "rawMarkdown": "Welcome to ALASKA image steganalysis challenge !\nWe are very exciting to introduce you to our difficult daily problem: detecting data hidden within digital image.\nAs written in the presentation, we are a bunch of academic researchers who are trying to push the community towards \"real-life\" application. We felt that we are facing interesting problems that would be of very broad interest. To summarize the main challenge are (1) extremely weak signal, the data hidden in LSB (=Least Significant Bits) of pixels / DCT coefficient (2) the very high heterogeneity of digital image and their noise and (3) the need of having detection method with low false alarm.\n\nIf you want to know more about steganography and steganalysis and especially about the current art, I strongly recommend to on http://dde.binghamton.edu/download/ which proposes a lot of resources that could be good starting point. \nI would especially point out to the proposal that won the ALASKA#1 challenge:\nhttps://github.com/YassineYousfi/alaska\n\nHave fun !\nLooking forward to meeting you in New York city for IEEE WIFS conference !\n\nRémi", "votes": null }, { "id": "823701", "postDate": "04/27/2020 20:18:38", "content": "Can you please explain what is the \"DCT coefficient\" of an image?
", "rawMarkdown": "Can you please explain what is the \"DCT coefficient\" of an image?", "votes": null }, { "id": "823711", "postDate": "04/27/2020 20:29:22", "content": "Let's do it 🎉! Thank you, Rémi and the team for organizing!
", "rawMarkdown": "Let's do it 🎉! Thank you, Rémi and the team for organizing!", "votes": null }, { "id": "823761", "postDate": "04/27/2020 21:42:38", "content": "The Discrete Cosine Transform is a key part of the way images are encoded as part of the JPEG standard. Wikipedia will tell you all about it in detail.
", "rawMarkdown": "The Discrete Cosine Transform is a key part of the way images are encoded as part of the JPEG standard. Wikipedia will tell you all about it in detail.", "votes": null } ], "comments": [ { "id": 823701, "author_name": "jcatanza", "author_url": "", "post_date": "04/27/2020 20:18:38", "content": "Can you please explain what is the \"DCT coefficient\" of an image?
", "votes": null, "replies": [ { "id": 823761, "author_name": "andypenrose", "author_url": "", "post_date": "04/27/2020 21:42:38", "content": "The Discrete Cosine Transform is a key part of the way images are encoded as part of the JPEG standard. Wikipedia will tell you all about it in detail.
", "votes": null, "replies": [] } ] }, { "id": 823711, "author_name": "yousfi", "author_url": "", "post_date": "04/27/2020 20:29:22", "content": "Let's do it 🎉! Thank you, Rémi and the team for organizing!
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "823661": "Welcome to ALASKA image steganalysis challenge !\nWe are very exciting to introduce you to our difficult daily problem: detecting data hidden within digital image.\nAs written in the presentation, we are a bunch of academic researchers who are trying to push the community towards \"real-life\" application. We felt that we are facing interesting problems that would be of very broad interest. To summarize the main challenge are (1) extremely weak signal, the data hidden in LSB (=Least Significant Bits) of pixels / DCT coefficient (2) the very high heterogeneity of digital image and their noise and (3) the need of having detection method with low false alarm.\n\nIf you want to know more about steganography and steganalysis and especially about the current art, I strongly recommend to on http://dde.binghamton.edu/download/ which proposes a lot of resources that could be good starting point. \nI would especially point out to the proposal that won the ALASKA#1 challenge:\nhttps://github.com/YassineYousfi/alaska\n\nHave fun !\nLooking forward to meeting you in New York city for IEEE WIFS conference !\n\nRémi", "823701": "Can you please explain what is the \"DCT coefficient\" of an image?", "823711": "Let's do it 🎉! Thank you, Rémi and the team for organizing!", "823761": "The Discrete Cosine Transform is a key part of the way images are encoded as part of the JPEG standard. Wikipedia will tell you all about it in detail." }, "source": "meta" }