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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,780 --> 00:00:04,500 In this video, we're going to be taking a look at another deepfake detector. 2 00:00:04,740 --> 00:00:06,330 And this one's called deep where. 3 00:00:07,110 --> 00:00:14,370 And if you're going to browse to it from the web, you can find it over deep where dot a I know this 4 00:00:14,370 --> 00:00:16,470 is another great tool again we could use as. 5 00:00:18,340 --> 00:00:25,270 Through the Web browser, which we're going to do in a moment, there's also a Google Play app that 6 00:00:25,270 --> 00:00:26,080 you can install. 7 00:00:27,340 --> 00:00:32,440 And also another thing I like is here's a GitHub repository for this, and we could see the deepfake 8 00:00:32,440 --> 00:00:40,360 scanner here and also some of the additional modules that you could do, like face face detection recognition 9 00:00:40,360 --> 00:00:41,080 library. 10 00:00:42,010 --> 00:00:47,200 And this is great if you want to, if you're building up your own machine and you want something kind 11 00:00:47,200 --> 00:00:49,150 of contained in your own little toolbox. 12 00:00:51,430 --> 00:00:56,680 But again, we're going to take a look at the Web browser version of this, so it's pretty easy, just 13 00:00:56,680 --> 00:01:00,100 like the other one, if we go to go to scanner here. 14 00:01:01,440 --> 00:01:07,890 We could either enter or you are ill here or we could do skin, and I'm just in, or you can click this 15 00:01:07,890 --> 00:01:11,460 little button here to upload a file, so I'm going to just upload a file. 16 00:01:11,470 --> 00:01:13,080 This is one of the videos I created. 17 00:01:16,220 --> 00:01:17,930 We give them a moment to upload here. 18 00:01:19,640 --> 00:01:25,340 And it's going to go through the skin process now, depending how large that video is, I ran this last 19 00:01:25,340 --> 00:01:28,700 night is it's going to depend on how long it takes. 20 00:01:28,880 --> 00:01:35,390 Generally, this is a if we can see it as about a twenty six point seven MEG file, it took a couple 21 00:01:35,390 --> 00:01:35,870 of minutes. 22 00:01:36,320 --> 00:01:37,760 I would say less than five minutes. 23 00:01:37,760 --> 00:01:39,110 Much less than five minutes. 24 00:01:39,290 --> 00:01:41,210 More like two minutes or so. 25 00:01:43,090 --> 00:01:44,500 To do the detection. 26 00:01:45,780 --> 00:01:52,800 And we could see the user time and date here, and we could see the likelihood that this is a deep fake 27 00:01:52,800 --> 00:01:56,550 and no fix found for this particular one because, well, there's. 28 00:01:57,210 --> 00:01:59,730 It was actually going through a tutorial for. 29 00:02:01,060 --> 00:02:01,960 Or something else? 30 00:02:02,350 --> 00:02:08,770 But again, it's pretty easy we could see if it found a face, we could see also on this little this 31 00:02:08,770 --> 00:02:10,790 little short here. 32 00:02:11,560 --> 00:02:19,480 How likely it is a a deep fake scan and we could see other things like duration, resolution, frame 33 00:02:19,480 --> 00:02:23,620 rate, whatever Kotecha was recorded in and also same for the audio. 34 00:02:24,610 --> 00:02:26,530 So again, pretty easy tool to use. 35 00:02:27,700 --> 00:02:35,110 It's currently free, and if you're looking for something to do a scan on deepfake, you could try to 36 00:02:35,110 --> 00:02:37,060 take a look at the video itself. 37 00:02:37,060 --> 00:02:39,370 See if there's anything unusual about it. 38 00:02:39,850 --> 00:02:40,570 Pause it. 39 00:02:41,600 --> 00:02:43,970 Broken down frame by frame, if you need to. 40 00:02:45,050 --> 00:02:52,190 But again, this is another easy tool to use to try to protect if that is in fact a deepfake video anything 41 00:02:52,200 --> 00:02:55,130 we could find this right deep where dot A.I.. 42 00:02:55,280 --> 00:02:56,000 Thanks for watching. 43 00:02:56,090 --> 00:02:56,360 We'll see. 4103

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