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Robust Image Alignment for Tampering Detection
IEEE Transactions on Information Forensics and Security, 2012The widespread use of classic and newest technologies available on Internet (e.g., emails, social networks, digital repositories) has induced a growing interest on systems able to protect the visual content against malicious manipulations that could be performed during their transmission.
BATTIATO, SEBASTIANO +3 more
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2023
The thesis proposes and evaluates deep learning methodologies for tampering detection at multi-layered audio samples. The tampering of the audio recordings can be performed by cutting, insertion, or reshuffling. State-of-the-art solutions provide promising results by detecting tampering events in audio samples based on acoustic environment analysis ...
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The thesis proposes and evaluates deep learning methodologies for tampering detection at multi-layered audio samples. The tampering of the audio recordings can be performed by cutting, insertion, or reshuffling. State-of-the-art solutions provide promising results by detecting tampering events in audio samples based on acoustic environment analysis ...
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Tamper detection for active surveillance systems
2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013If surveillance data are corrupted they are of no use to neither manually post-investigation nor automatic video analysis. It is therefore critical to automatically be able to detect tampering events such as defocusing, occlusion and displacement. In this work we for the first time address this important problem for an active camera.
Theodore Tsesmelis +3 more
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Proactive Software Tampering Detection
2003With the advent of digital technologies, digital content piracy has become a growing concern. Unauthorized music and movie copying are eating a big bite of the profit of the record industry and the movie studios. Software piracy has also cost software industry billions of dollars each year.
Hongxia Jin, Jeffery Lotspiech
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Image watermarking for tamper detection
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002We propose an oblivious watermarking technique for tamper detection in digital images. By comparing correlation values from different portions of the image, the technique enables us to distinguish malicious changes, such as replacing/adding features from nonmalicious changes resulting from common image processing operations.
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How to detect tampering of data
Information Processing Letters, 1985Abstract A method of nested coding is described. It can be used to detect tampering of data.
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Multi-level tamper detection and recovery with tamper type identification
2013 IEEE International Conference on Image Processing, 2013A fragile watermarking scheme with simple and effective tamper detection and recovery capability is proposed in this paper. In this new scheme, not only one parity-check watermark but also two copies of feature-bit watermark are embedded. For tamper detection, a new multi-level tamper detection strategy including intra-block detection, inter-block ...
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Detection and Restoration of a Tampered Medical Image
2004This paper presents a recoverable image tamper proofing technique using the symmetric key cryptosystem and vector quantization for detecting and restoring of a tampered medical image. Our scheme applies the one-way hashing function and the symmetric key cryptosystem to the host image to generate the verification data.
Jun-Chou Chuang, Chin-Chen Chang 0001
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New Developments in Image Tampering Detection
2015Statistical feature-based pattern recognition approach has been proved to be useful in digital image forgery detection. In this paper, we first present this approach adopted in Phase 1 of the first IEEE IFS-TC Image Forensics Challenge, in which the task is to classify the tampered images from the original ones, together with the experimental results ...
Guanshuo Xu +2 more
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Local tampering detection in video sequences
2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP), 2013Video sequences are often believed to provide stronger forensic evidence than still images, e.g., when used in lawsuits. However, a wide set of powerful and easy-to-use video authoring tools is today available to anyone. Therefore, it is possible for an attacker to maliciously forge a video sequence, e.g., by removing or inserting an object in a scene.
BESTAGINI, PAOLO +3 more
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