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AI-generated artwork detection using self-distilled transformers with global-local feature learning and Grad-CAM interpretability. [PDF]
Yinghua W +3 more
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Hybrid deep feature integration model for robust deepfake detection using transfer-learned neural networks. [PDF]
Potluri S +5 more
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Annual Review of Vision Science, 2019
From mainstream media outlets to social media and everything in between, doctored photographs are appearing with growing frequency and sophistication. The resulting lack of trust is impacting law enforcement, national security, the media, e-commerce, and more.
Hany Farid
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From mainstream media outlets to social media and everything in between, doctored photographs are appearing with growing frequency and sophistication. The resulting lack of trust is impacting law enforcement, national security, the media, e-commerce, and more.
Hany Farid
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On the Security of Image Manipulation Forensics
Lecture Notes in Computer Science, 2015In this paper, we present a unified understanding on the formal performance evaluation for image manipulation forensics techniques. With hypothesis testing model, security is qualified as the difficulty for defeating an existing forensics system and making it generate two types of forensic errors, i.e., missing and false alarm detection.
Gang Cao, Yongbin Wang, Rongrong Ni
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Digital image forensics and anti-forensics
Nowadays, images are commonly found in Facebook, YouTube, WeChat and WWW all over the world due to the prevalence of digital cameras, smart phones, 3G/4G, cloud storage and social networks. Often images are an important source of evidence in law enforcement and investigative cases.
Kwok, Chun Wing
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Digital Forensics: Focusing on Image Forensics
2019 7th International Symposium on Digital Forensics and Security (ISDFS), 2019The world is continuously developing, and people's needs are increasing as well; so too are the number of thieves increasing, especially electronic thieves. For that reason, companies and individuals are always searching for experts who will protect them from thieves, and these experts are called digital investigators. Digital forensics has a number of
Rayan Sulaiman Khalaf, Asaf Varol
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Image acquisition forensics: Forensic analysis to identify imaging source
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008With widespread availability of digital images and easy-to-use image editing softwares, the origin and integrity of digital images has become a serious concern. This paper introduces the problem of image acquisition forensics and proposes a fusion of a set of signal processing features to identify the source of digital images. Our results show that the
Christine McKay +3 more
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Image Forensics in Online News
2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP), 2018Recognizing fake images in online news is a challenging problem. This is especially true in the case of critical situations, when journalists might insert high-impact images to make a piece of news more appealing to the readers, neglecting to check their authenticity and provenance.
Lago, Federica +2 more
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IEEE Signal Processing Magazine, 2009
The article explains how photo-response nonuniformity (PRNU) of imaging sensors can be used for a variety of important digital forensic tasks, such as device identification, device linking, recovery of processing history, and detection of digital forgeries.
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The article explains how photo-response nonuniformity (PRNU) of imaging sensors can be used for a variety of important digital forensic tasks, such as device identification, device linking, recovery of processing history, and detection of digital forgeries.
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A review of digital image forensics
Computers & Electrical Engineering, 2020Abstract The manipulation of digital images has become very common in recent years. Thus, it is possible to cut, clone, and resize an image very quickly, which makes it challenging to validate the integrity and authenticity of images. Furthermore, digital images can be used by forensic experts in their forensic investigations.
William D. Ferreira +3 more
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