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SentinelFusion based machine learning comprehensive approach for enhanced computer forensics. [PDF]
Islam U +6 more
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Human-centered design of a digital coping intervention for children experiencing post-separation interparental conflict. [PDF]
Yang MY +4 more
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Temporal Tampering Detection in Automotive Dashcam Videos via Multi-Feature Forensic Analysis and a 1D Convolutional Neural Network. [PDF]
Shinwari AR, Khairuddin UB, Haniff MFB.
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FACSNet: Forensics aided content selection network for heterogeneous image steganalysis. [PDF]
Huang S, Zhang M, Kong Y, Ke Y, Di F.
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Joining the National Resident Matching Program Fellowship Match: the hematopathology experience. [PDF]
Courville EL +6 more
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Multimedia in Forensics, Security, and Intelligence
IEEE MultiMedia, 2012With the proliferation of multimedia data, it has become necessary to secure this content from illegal use, efficiently detect and reconstruct illegal activities from it, and use it as a source of intelligence. Serious challenges arise from the sheer data volume, however.
Sebastiano Battiato +2 more
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Adversarial Multimedia Forensics
Advances in Information SecurityThis book explores various aspects of digital forensics, security and machine learning, while offering valuable insights into the ever-evolving landscape of multimedia forensics and data security. This book’s content can be summarized in two main areas.
Nowroozi, Ehsan +2 more
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An Overview of Recent Work in Multimedia Forensics
2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022Ziyue Xiang +2 more
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Proceedings of the 27th ACM International Conference on Multimedia, 2019
With the availability of powerful and easy-to-use media editing tools, falsifying images and videos has become widespread in the last few years. Coupled with ubiquitous social networks, this allows for the viral dissemination of fake news. This raises huge concerns on multimedia security. This scenario became even worse with the advent of deep learning.
Luisa Verdoliva, Paolo Bestagini
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With the availability of powerful and easy-to-use media editing tools, falsifying images and videos has become widespread in the last few years. Coupled with ubiquitous social networks, this allows for the viral dissemination of fake news. This raises huge concerns on multimedia security. This scenario became even worse with the advent of deep learning.
Luisa Verdoliva, Paolo Bestagini
openaire +1 more source

