{ "id": 121183, "title": "Useful Papers", "url": "/competitions/deepfake-detection-challenge/discussion/121183", "author_name": "", "post_date": "2019-12-11T18:15:37.737033Z", "votes": 144, "comment_count": 25, "views": 0, "content": "

Here are some of the papers that I found related to Deepfake Detection\n1. Unmasking DeepFakes with simple Features\n2. Deep Learning for Deepfakes Creation and Detection\n3. Exposing DeepFake Videos By Detecting Face Warping Artifacts\n4. awesome-deepfakes\n5. MesoNet: a Compact Facial Video Forgery Detection Network\n6. USE OF A CAPSULE NETWORK TO DETECT FAKE IMAGES AND VIDEOS\n7. Protecting World Leaders Against Deep Fakes\n8. FaceForensics++: Learning to Detect Manipulated Facial Images\n9. Towards deepfake detection that actually works\n10. DeepFake Audio Detection\n> I will keep updating this post as I find new/relevant papers

", "messages": [ { "id": "692784", "postDate": "12/11/2019 18:15:37", "content": "

Here are some of the papers that I found related to Deepfake Detection\n1. Unmasking DeepFakes with simple Features\n2. Deep Learning for Deepfakes Creation and Detection\n3. Exposing DeepFake Videos By Detecting Face Warping Artifacts\n4. awesome-deepfakes\n5. MesoNet: a Compact Facial Video Forgery Detection Network\n6. USE OF A CAPSULE NETWORK TO DETECT FAKE IMAGES AND VIDEOS\n7. Protecting World Leaders Against Deep Fakes\n8. FaceForensics++: Learning to Detect Manipulated Facial Images\n9. Towards deepfake detection that actually works\n10. DeepFake Audio Detection\n> I will keep updating this post as I find new/relevant papers

", "rawMarkdown": "Here are some of the papers that I found related to Deepfake Detection\n1. [Unmasking DeepFakes with simple Features](https://arxiv.org/pdf/1911.00686v2.pdf)\n2. [Deep Learning for Deepfakes Creation and Detection](https://arxiv.org/pdf/1909.11573.pdf)\n3. [Exposing DeepFake Videos By Detecting Face Warping Artifacts](http://openaccess.thecvf.com/content_CVPRW_2019/papers/Media%20Forensics/Li_Exposing_DeepFake_Videos_By_Detecting_Face_Warping_Artifacts_CVPRW_2019_paper.pdf)\n4. [awesome-deepfakes](https://github.com/aerophile/awesome-deepfakes)\n5. [MesoNet: a Compact Facial Video Forgery Detection Network](https://arxiv.org/pdf/1809.00888.pdf)\n6. [USE OF A CAPSULE NETWORK TO DETECT FAKE IMAGES AND VIDEOS](https://arxiv.org/pdf/1910.12467.pdf)\n7. [Protecting World Leaders Against Deep Fakes](http://openaccess.thecvf.com/content_CVPRW_2019/papers/Media%20Forensics/Agarwal_Protecting_World_Leaders_Against_Deep_Fakes_CVPRW_2019_paper.pdf)\n8. [FaceForensics++: Learning to Detect Manipulated Facial Images](http://www.niessnerlab.org/projects/roessler2019faceforensicspp.html)\n9. [Towards deepfake detection that actually works](https://github.com/dessa-public/DeepFake-Detection)\n10. [DeepFake Audio Detection](https://github.com/dessa-public/fake-voice-detection)\n> I will keep updating this post as I find new/relevant papers", "votes": null }, { "id": "692847", "postDate": "12/11/2019 19:36:15", "content": "

Thanks! Very Useful

", "rawMarkdown": "Thanks! Very Useful", "votes": null }, { "id": "692855", "postDate": "12/11/2019 19:48:17", "content": "

Actually thanks for this resources as i had no idea on how to proceed but i will try

", "rawMarkdown": "Actually thanks for this resources as i had no idea on how to proceed but i will try", "votes": null }, { "id": "692972", "postDate": "12/11/2019 23:07:16", "content": "

https://github.com/datamllab/awesome-deepfakes-materials

", "rawMarkdown": "https://github.com/datamllab/awesome-deepfakes-materials", "votes": null }, { "id": "693072", "postDate": "12/12/2019 02:17:16", "content": "

a survey paper to get the ideas of Deepfakes Creation and Detection https://arxiv.org/pdf/1909.11573.pdf

", "rawMarkdown": "a survey paper to get the ideas of Deepfakes Creation and Detection https://arxiv.org/pdf/1909.11573.pdf", "votes": null }, { "id": "693463", "postDate": "12/12/2019 11:53:05", "content": "

Very informative research papars with respect to this challenge. Interestingly I used to take lectures from FaceForensics++ author last semester.

\n\n

FaceForensics dataset can also play a vital role as validation set for this challenge.

", "rawMarkdown": "Very informative research papars with respect to this challenge. Interestingly I used to take lectures from FaceForensics++ author last semester. \n\nFaceForensics dataset can also play a vital role as validation set for this challenge.", "votes": null }, { "id": "693478", "postDate": "12/12/2019 12:22:08", "content": "

good job, see you again.😂 @bibek777

", "rawMarkdown": "good job, see you again.😂 @bibek777", "votes": null }, { "id": "693491", "postDate": "12/12/2019 12:41:55", "content": "

Tnx! For for your work !

", "rawMarkdown": "Tnx! For for your work !", "votes": null }, { "id": "693608", "postDate": "12/12/2019 15:12:42", "content": "

Thanks a lot for the useful papers!

", "rawMarkdown": "Thanks a lot for the useful papers!", "votes": null }, { "id": "695998", "postDate": "12/16/2019 01:32:55", "content": "

Thanks for your work!

", "rawMarkdown": "Thanks for your work!", "votes": null }, { "id": "696032", "postDate": "12/16/2019 03:14:01", "content": "

thanks for sharing

", "rawMarkdown": "thanks for sharing", "votes": null }, { "id": "696369", "postDate": "12/16/2019 14:23:00", "content": "

Thanks for the contribution !

", "rawMarkdown": "Thanks for the contribution !", "votes": null }, { "id": "696970", "postDate": "12/17/2019 10:02:37", "content": "

Thank you for sharing.

", "rawMarkdown": "Thank you for sharing.", "votes": null }, { "id": "700250", "postDate": "12/21/2019 17:32:25", "content": "

I found a GitHub repo questioning the ability of FaceForensics++ to detect all kinds of deepfakes, you'll probably be interesting in this repo!\nRepo here: https://github.com/dessa-public/DeepFake-Detection\nSee the discussion here: https://www.kaggle.com/c/deepfake-detection-challenge/discussion/122603

", "rawMarkdown": "I found a GitHub repo questioning the ability of FaceForensics++ to detect all kinds of deepfakes, you'll probably be interesting in this repo!\nRepo here: https://github.com/dessa-public/DeepFake-Detection\nSee the discussion here: https://www.kaggle.com/c/deepfake-detection-challenge/discussion/122603", "votes": null }, { "id": "703144", "postDate": "12/25/2019 17:05:49", "content": "

Thanks for sharing

", "rawMarkdown": "Thanks for sharing", "votes": null }, { "id": "710886", "postDate": "01/05/2020 11:47:07", "content": "

New to deepfake , there's a review of fake detection----DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection https://arxiv.org/pdf/2001.00179.pdf?tdsourcetag=s_pcqq_aiomsg

", "rawMarkdown": "New to deepfake , there's a review of fake detection----DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection https://arxiv.org/pdf/2001.00179.pdf?tdsourcetag=s_pcqq_aiomsg", "votes": null }, { "id": "712488", "postDate": "01/07/2020 09:50:53", "content": "

Nice, bookmarked!

", "rawMarkdown": "Nice, bookmarked!", "votes": null }, { "id": "713790", "postDate": "01/08/2020 16:54:56", "content": "

This paper is very good, thanks for sharing!

", "rawMarkdown": "This paper is very good, thanks for sharing!", "votes": null }, { "id": "713793", "postDate": "01/08/2020 16:58:05", "content": "

I think this is a very good addition to the pack: ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection

", "rawMarkdown": "I think this is a very good addition to the pack: [ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection](https://arxiv.org/pdf/1812.02510.pdf)", "votes": null }, { "id": "734796", "postDate": "02/02/2020 02:35:00", "content": "

Thanks for youe sharing👍

", "rawMarkdown": "Thanks for youe sharing👍", "votes": null }, { "id": "734992", "postDate": "02/02/2020 10:55:37", "content": "

thanks for your help!

", "rawMarkdown": "thanks for your help!", "votes": null }, { "id": "741358", "postDate": "02/10/2020 14:34:15", "content": "

Thank you Bibek!

", "rawMarkdown": "Thank you Bibek!", "votes": null }, { "id": "750159", "postDate": "02/19/2020 07:05:47", "content": "

great

", "rawMarkdown": "great", "votes": null }, { "id": "758872", "postDate": "02/28/2020 09:24:16", "content": "

Thanks for sharing!

", "rawMarkdown": "Thanks for sharing!", "votes": null }, { "id": "775470", "postDate": "03/16/2020 17:57:07", "content": "

Thank you! Very nice!

", "rawMarkdown": "Thank you! Very nice!", "votes": null }, { "id": "823253", "postDate": "04/27/2020 14:16:04", "content": "

Here is a new in-depth survey/tutorial on deepfakes:\nThe Creation and Detection of Deepfakes: A Survey\nhttps://arxiv.org/abs/2004.11138

", "rawMarkdown": "Here is a new in-depth survey/tutorial on deepfakes:\nThe Creation and Detection of Deepfakes: A Survey\nhttps://arxiv.org/abs/2004.11138", "votes": null } ], "comments": [ { "id": 692847, "author_name": "srbestha", "author_url": "", "post_date": "12/11/2019 19:36:15", "content": "

Thanks! Very Useful

", "votes": null, "replies": [] }, { "id": 692855, "author_name": "astroeagle", "author_url": "", "post_date": "12/11/2019 19:48:17", "content": "

Actually thanks for this resources as i had no idea on how to proceed but i will try

", "votes": null, "replies": [] }, { "id": 692972, "author_name": "dumengnan", "author_url": "", "post_date": "12/11/2019 23:07:16", "content": "

https://github.com/datamllab/awesome-deepfakes-materials

", "votes": null, "replies": [] }, { "id": 693072, "author_name": "nvnnghia", "author_url": "", "post_date": "12/12/2019 02:17:16", "content": "

a survey paper to get the ideas of Deepfakes Creation and Detection https://arxiv.org/pdf/1909.11573.pdf

", "votes": null, "replies": [] }, { "id": 693463, "author_name": "umarmuha", "author_url": "", "post_date": "12/12/2019 11:53:05", "content": "

Very informative research papars with respect to this challenge. Interestingly I used to take lectures from FaceForensics++ author last semester.

\n\n

FaceForensics dataset can also play a vital role as validation set for this challenge.

", "votes": null, "replies": [] }, { "id": 693478, "author_name": "diegojohnson", "author_url": "", "post_date": "12/12/2019 12:22:08", "content": "

good job, see you again.😂 @bibek777

", "votes": null, "replies": [] }, { "id": 693491, "author_name": "nick2us", "author_url": "", "post_date": "12/12/2019 12:41:55", "content": "

Tnx! For for your work !

", "votes": null, "replies": [] }, { "id": 693608, "author_name": "haojianqiao", "author_url": "", "post_date": "12/12/2019 15:12:42", "content": "

Thanks a lot for the useful papers!

", "votes": null, "replies": [] }, { "id": 695998, "author_name": "minhtam", "author_url": "", "post_date": "12/16/2019 01:32:55", "content": "

Thanks for your work!

", "votes": null, "replies": [] }, { "id": 696032, "author_name": "jameszeng", "author_url": "", "post_date": "12/16/2019 03:14:01", "content": "

thanks for sharing

", "votes": null, "replies": [] }, { "id": 696369, "author_name": "benbattino", "author_url": "", "post_date": "12/16/2019 14:23:00", "content": "

Thanks for the contribution !

", "votes": null, "replies": [] }, { "id": 696970, "author_name": "mayurjajoo", "author_url": "", "post_date": "12/17/2019 10:02:37", "content": "

Thank you for sharing.

", "votes": null, "replies": [] }, { "id": 700250, "author_name": "mika30", "author_url": "", "post_date": "12/21/2019 17:32:25", "content": "

I found a GitHub repo questioning the ability of FaceForensics++ to detect all kinds of deepfakes, you'll probably be interesting in this repo!\nRepo here: https://github.com/dessa-public/DeepFake-Detection\nSee the discussion here: https://www.kaggle.com/c/deepfake-detection-challenge/discussion/122603

", "votes": null, "replies": [] }, { "id": 703144, "author_name": "erkanhatipoglu", "author_url": "", "post_date": "12/25/2019 17:05:49", "content": "

Thanks for sharing

", "votes": null, "replies": [] }, { "id": 710886, "author_name": "raininbox", "author_url": "", "post_date": "01/05/2020 11:47:07", "content": "

New to deepfake , there's a review of fake detection----DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection https://arxiv.org/pdf/2001.00179.pdf?tdsourcetag=s_pcqq_aiomsg

", "votes": null, "replies": [ { "id": 713790, "author_name": "carlossouza", "author_url": "", "post_date": "01/08/2020 16:54:56", "content": "

This paper is very good, thanks for sharing!

", "votes": null, "replies": [] } ] }, { "id": 712488, "author_name": "dasmehdixtr", "author_url": "", "post_date": "01/07/2020 09:50:53", "content": "

Nice, bookmarked!

", "votes": null, "replies": [] }, { "id": 713793, "author_name": "carlossouza", "author_url": "", "post_date": "01/08/2020 16:58:05", "content": "

I think this is a very good addition to the pack: ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection

", "votes": null, "replies": [] }, { "id": 734796, "author_name": "yanghang978", "author_url": "", "post_date": "02/02/2020 02:35:00", "content": "

Thanks for youe sharing👍

", "votes": null, "replies": [] }, { "id": 734992, "author_name": "", "author_url": "", "post_date": "02/02/2020 10:55:37", "content": "

thanks for your help!

", "votes": null, "replies": [] }, { "id": 741358, "author_name": "fabriziorocco", "author_url": "", "post_date": "02/10/2020 14:34:15", "content": "

Thank you Bibek!

", "votes": null, "replies": [] }, { "id": 750159, "author_name": "", "author_url": "", "post_date": "02/19/2020 07:05:47", "content": "

great

", "votes": null, "replies": [] }, { "id": 758872, "author_name": "mounikadonapati", "author_url": "", "post_date": "02/28/2020 09:24:16", "content": "

Thanks for sharing!

", "votes": null, "replies": [] }, { "id": 775470, "author_name": "tegzes", "author_url": "", "post_date": "03/16/2020 17:57:07", "content": "

Thank you! Very nice!

", "votes": null, "replies": [] }, { "id": 823253, "author_name": "ymirsky", "author_url": "", "post_date": "04/27/2020 14:16:04", "content": "

Here is a new in-depth survey/tutorial on deepfakes:\nThe Creation and Detection of Deepfakes: A Survey\nhttps://arxiv.org/abs/2004.11138

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "692784": "Here are some of the papers that I found related to Deepfake Detection\n1. [Unmasking DeepFakes with simple Features](https://arxiv.org/pdf/1911.00686v2.pdf)\n2. [Deep Learning for Deepfakes Creation and Detection](https://arxiv.org/pdf/1909.11573.pdf)\n3. [Exposing DeepFake Videos By Detecting Face Warping Artifacts](http://openaccess.thecvf.com/content_CVPRW_2019/papers/Media%20Forensics/Li_Exposing_DeepFake_Videos_By_Detecting_Face_Warping_Artifacts_CVPRW_2019_paper.pdf)\n4. [awesome-deepfakes](https://github.com/aerophile/awesome-deepfakes)\n5. [MesoNet: a Compact Facial Video Forgery Detection Network](https://arxiv.org/pdf/1809.00888.pdf)\n6. [USE OF A CAPSULE NETWORK TO DETECT FAKE IMAGES AND VIDEOS](https://arxiv.org/pdf/1910.12467.pdf)\n7. [Protecting World Leaders Against Deep Fakes](http://openaccess.thecvf.com/content_CVPRW_2019/papers/Media%20Forensics/Agarwal_Protecting_World_Leaders_Against_Deep_Fakes_CVPRW_2019_paper.pdf)\n8. [FaceForensics++: Learning to Detect Manipulated Facial Images](http://www.niessnerlab.org/projects/roessler2019faceforensicspp.html)\n9. [Towards deepfake detection that actually works](https://github.com/dessa-public/DeepFake-Detection)\n10. [DeepFake Audio Detection](https://github.com/dessa-public/fake-voice-detection)\n> I will keep updating this post as I find new/relevant papers", "692847": "Thanks! Very Useful", "692855": "Actually thanks for this resources as i had no idea on how to proceed but i will try", "692972": "https://github.com/datamllab/awesome-deepfakes-materials", "693072": "a survey paper to get the ideas of Deepfakes Creation and Detection https://arxiv.org/pdf/1909.11573.pdf", "693463": "Very informative research papars with respect to this challenge. Interestingly I used to take lectures from FaceForensics++ author last semester. \n\nFaceForensics dataset can also play a vital role as validation set for this challenge.", "693478": "good job, see you again.😂 @bibek777", "693491": "Tnx! For for your work !", "693608": "Thanks a lot for the useful papers!", "695998": "Thanks for your work!", "696032": "thanks for sharing", "696369": "Thanks for the contribution !", "696970": "Thank you for sharing.", "700250": "I found a GitHub repo questioning the ability of FaceForensics++ to detect all kinds of deepfakes, you'll probably be interesting in this repo!\nRepo here: https://github.com/dessa-public/DeepFake-Detection\nSee the discussion here: https://www.kaggle.com/c/deepfake-detection-challenge/discussion/122603", "703144": "Thanks for sharing", "710886": "New to deepfake , there's a review of fake detection----DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection https://arxiv.org/pdf/2001.00179.pdf?tdsourcetag=s_pcqq_aiomsg", "712488": "Nice, bookmarked!", "713790": "This paper is very good, thanks for sharing!", "713793": "I think this is a very good addition to the pack: [ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection](https://arxiv.org/pdf/1812.02510.pdf)", "734796": "Thanks for youe sharing👍", "734992": "thanks for your help!", "741358": "Thank you Bibek!", "750159": "great", "758872": "Thanks for sharing!", "775470": "Thank you! Very nice!", "823253": "Here is a new in-depth survey/tutorial on deepfakes:\nThe Creation and Detection of Deepfakes: A Survey\nhttps://arxiv.org/abs/2004.11138" }, "source": "meta" }