Grievous 发表于 2025-3-21 18:34:34
书目名称Adversarial Multimedia Forensics影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0150411<br><br> <br><br>书目名称Adversarial Multimedia Forensics影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0150411<br><br> <br><br>书目名称Adversarial Multimedia Forensics网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0150411<br><br> <br><br>书目名称Adversarial Multimedia Forensics网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0150411<br><br> <br><br>书目名称Adversarial Multimedia Forensics被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0150411<br><br> <br><br>书目名称Adversarial Multimedia Forensics被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0150411<br><br> <br><br>书目名称Adversarial Multimedia Forensics年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0150411<br><br> <br><br>书目名称Adversarial Multimedia Forensics年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0150411<br><br> <br><br>书目名称Adversarial Multimedia Forensics读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0150411<br><br> <br><br>书目名称Adversarial Multimedia Forensics读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0150411<br><br> <br><br>Ascribe 发表于 2025-3-21 22:25:20
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Good or Evil: Generative Adversarial Networks in Digital Forensics,forensic tools to fool classifiers. The adversary may either remove or modify crucial evidence present in data or create completely new data which closely reflects the original. In this work, we present a literature overview on the application of GANs in the digital forensics domain to demonstrate tbourgeois 发表于 2025-3-22 10:30:16
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Generative Adversarial Networks for Artificial Satellite Image Creation and Manipulation,ing..With an appropriately trained version of cycle GAN architecture, the objective of the land cover transfer is to effectuate a change in the land cover from modified images of vegetation to barren land and vice versa. By employing the pix2pix GAN architecture, the seasonal transfer technique achiFretful 发表于 2025-3-22 21:07:03
Domain Specific Information Based Learning for Facial Image Forensics,entify the suspects involved in crime, forensic experts follow manual comparison which is a time-consuming task. The main objective of this chapter is to discuss the importance of forensics and the various universities, laboratories, and applications established in this discipline. Domain specific mNOVA 发表于 2025-3-22 21:13:24
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Using Vocoder Artifacts For Audio Deepfakes Detection,with the vocoder identification system. We employ a self-supervised representation learning (SSRL) approach, treating vocoder identification as a pretext task. Doing so ensures that the front-end feature extraction module is constrained and optimized to build the final binary classifier for syntheti