Search Results - "Stamm, Matthew C."

Information Forensics: An Overview of the First Decade by Stamm, Matthew C., Min Wu, Liu, K. J. Ray

“…In recent decades, we have witnessed the evolution of information technologies from the development of VLSI technologies, to communication and networking…”
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Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection by Bayar, Belhassen, Stamm, Matthew C.

“…Identifying the authenticity and processing history of an image is an important task in multimedia forensics. By analyzing traces left by different image…”
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TIMIT-TTS: a Text-to-Speech Dataset for Multimodal Synthetic Media Detection by Salvi, Davide, Hosler, Brian, Bestagini, Paolo, Stamm, Matthew C., Tubaro, Stefano

“…With the rapid development of deep learning techniques, the generation and counterfeiting of multimedia material has become increasingly simple. Current…”
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Forensic Similarity for Digital Images by Mayer, Owen, Stamm, Matthew C.

“…In this paper, we introduce a new digital image forensics approach called forensic similarity, which determines whether two image patches contain the same…”
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The Video Authentication and Camera Identification Database: A New Database for Video Forensics by Hosler, Brian C., Zhao, Xinwei, Mayer, Owen, Chen, Chen, Shackleford, James A., Stamm, Matthew C.

“…Modern technologies have made the capture and sharing of digital video commonplace; the combination of modern smartphones, cloud storage, and social media…”
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Exposing Fake Images With Forensic Similarity Graphs by Mayer, Owen, Stamm, Matthew C.

“…In this paper, we propose new image forgery detection and localization algorithms by recasting these problems as graph-based community detection problems. To…”
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Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Traces by Fang, Shengbang, Stamm, Matthew C.

“…Recent advances in deep learning have enabled forensics researchers to develop a new class of image splicing detection and localization algorithms. These…”
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Robust Median Filtering Forensics Using an Autoregressive Model by Xiangui Kang, Stamm, Matthew C., Anjie Peng, Liu, K. J. Ray

“…In order to verify the authenticity of digital images, researchers have begun developing digital forensic techniques to identify image editing. One editing…”
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Robust camera model identification using demosaicing residual features by Chen, Chen, Stamm, Matthew C.

“…In this paper, we propose a new framework for performing accurate and robust camera model identification by fully exploiting demosaicing information in a…”
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Anti-forensics of digital image compression by Stamm, M. C., Liu, K. J. R.

“…As society has become increasingly reliant upon digital images to communicate visual information, a number of forensic techniques have been developed to verify…”
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Open Set Video Camera Model Verification by Mayer, Owen, Hosler, Brian, Stamm, Matthew C.

“…We introduce a new open set video forensics problem called video camera model verification. The video camera model verification task is to determine if two…”
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Temporal Forensics and Anti-Forensics for Motion Compensated Video by Stamm, M. C., Lin, W. S., Liu, K. J. R.

“…Due to the ease with which digital information can be altered, many digital forensic techniques have been developed to authenticate multimedia content…”
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Forensic detection of image manipulation using statistical intrinsic fingerprints by Stamm, M C, Liu, K J R

“…As the use of digital images has increased, so has the means and the incentive to create digital image forgeries. Accordingly, there is a great need for…”
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VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Traces by Nguyen, Tai D., Fang, Shengbang, Stamm, Matthew C.

“…Fake videos represent an important misinformation threat. While existing forensic networks have demonstrated strong performance on image forgeries, recent…”
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Deepfake Speech Detection Through Emotion Recognition: A Semantic Approach by Conti, Emanuele, Salvi, Davide, Borrelli, Clara, Hosler, Brian, Bestagini, Paolo, Antonacci, Fabio, Sarti, Augusto, Stamm, Matthew C., Tubaro, Stefano

“…In recent years, audio and video deepfake technology has advanced relentlessly, severely impacting people's reputation and reliability. Several factors have…”
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An Efficient Strategy for Online Performance Monitoring of Datacenters via Adaptive Sampling by Huang, Tingshan, Kandasamy, Nagarajan, Sethu, Harish, Stamm, Matthew C.

“…Performance monitoring of datacenters provides vital information for dynamic resource provisioning, anomaly detection, and capacity planning decisions. Online…”
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Information Theoretical Limit of Media Forensics: The Forensicability by Xiaoyu Chu, Yan Chen, Stamm, Matthew C., Liu, K. J. Ray

“…While more and more forensic techniques have been proposed to detect the processing history of multimedia content, one starts to wonder if there exists a…”
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Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies by Hosler, Brian, Salvi, Davide, Murray, Anthony, Antonacci, Fabio, Bestagini, Paolo, Tubaro, Stefano, Stamm, Matthew C.

“…Recent advances in deep learning and computer vision have spawned a new class of media forgeries known as deepfakes, which typically consist of artificially…”
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Camera model identification framework using an ensemble of demosaicing features by Chen Chen, Stamm, Matthew C.

“…Existing approaches to camera model identification frequently operate by building a parametric model of a camera component, then using an estimate of these…”
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Generative Adversarial Attacks Against Deep-Learning-Based Camera Model Identification by Chen, Chen, Zhao, Xinwei, Stamm, Matthew C.

“…Recently, deep learning techniques have gained popularity in multimedia forensics research designed to accomplish tasks such as camera model identification…”
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