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Provenance Filtering for Multimedia Phylogeny [article]

Allan Pinto, Daniel Moreira, Aparna Bharati, Joel Brogan, Kevin Bowyer, Patrick Flynn, Walter Scheirer, Anderson Rocha
2017 arXiv   pre-print
One of its integral pieces is provenance filtering, which consists of searching a potentially large pool of objects for the most related ones with respect to a given query, in terms of possible ancestors  ...  Departing from traditional digital forensics modeling, which seeks to analyze single objects in isolation, multimedia phylogeny analyzes the evolutionary processes that influence digital objects and collections  ...  While related work for multimedia phylogeny abounds, prior work on provenance filtering is almost non-existent. In terms of phylogeny, Dias et al.  ... 
arXiv:1706.00447v1 fatcat:76jr6ak5ovgpthulw6vncjkcsq

U-Phylogeny: Undirected Provenance Graph Construction in the Wild [article]

Aparna Bharati, Daniel Moreira, Allan Pinto, Joel Brogan, Kevin Bowyer, Patrick Flynn, Walter Scheirer, Anderson Rocha
2017 arXiv   pre-print
Deriving relationships between images and tracing back their history of modifications are at the core of Multimedia Phylogeny solutions, which aim to combat misinformation through doctored visual media  ...  The paper introduces a novel technique to geometrically filter the most promising matches as well as to aid in the shared region localization task.  ...  The materials for reproducing this work are available at https://gitlab.com/ notredame-provenance/u-phylogeny. Evaluation Metrics.  ... 
arXiv:1705.11187v1 fatcat:hy2xk3fkynbbhefbklccvhnpwi

Counteracting the contemporaneous proliferation of digital forgeries and fake news

ALEXANDRE FERREIRA, TIAGO CARVALHO, ANDALÓ FERNANDA, ANDERSON ROCHA
2019 Anais da Academia Brasileira de Ciências  
To look for authenticity in a wide sea of fake news, every detail is a lead.  ...  ACKNOWLEDGMENTS The research for this paper was financially supported by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), DéjàVu grant #2017/12646-3 and grant #2017/12631-6; by the Coordenação  ...  Source: (ENews 2012). 2014, Oikawa et al. 2016, Costa et al. 2016) for multimedia phylogeny and provenance integrity over the years.  ... 
doi:10.1590/0001-3765201820180149 fatcat:ebfy7ivfargtthveflq5oq6c44

Beyond Pixels: Image Provenance Analysis Leveraging Metadata [article]

Aparna Bharati, Daniel Moreira, Joel Brogan, Patricia Hale, Kevin W. Bowyer, Patrick J. Flynn, Anderson Rocha, Walter J. Scheirer
2019 arXiv   pre-print
Although still in its infancy, automated provenance analysis for online multimedia is already being applied to different types of content.  ...  This paper tests the scope and applicability of metadata-based inferences for provenance graph construction in two different scenarios: digital image forensics and cultural analytics.  ...  However, provenance analysis for online multimedia has not been as extensively studied in the existing literature.  ... 
arXiv:1807.03376v3 fatcat:pvk6eqd24zfwzjnh55ri4gfdvu

A Survey on Deepfake Analysis and Recognition using Deep Learning

Deepak N R, Mohamed Aweez Akram, Mohammed Adnan K, Mohammed Shibil, Shameema Banu R
2021 Zenodo  
Hence, there is a need for automated tools competent of detecting fake multimedia content.  ...  Image provenance analysis involves two steps:  Provenance image filtering: This aids in the identification for photographs that are directly linked to the query picture in a possibly vast pool of pictures  ...  filtering.  ... 
doi:10.5281/zenodo.5040480 fatcat:3qabhwll6zfdrol26cykwdkzr4

MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation

Haiying Guan, Mark Kozak, Eric Robertson, Yooyoung Lee, Amy N. Yates, Andrew Delgado, Daniel Zhou, Timothee Kheyrkhah, Jeff Smith, Jonathan Fiscus
2019 2019 IEEE Winter Applications of Computer Vision Workshops (WACVW)  
We provide a benchmark for digital Media Forensics Challenge (MFC) evaluations.  ...  Our comprehensive data comprises over 176,000 high provenance (HP) images and 11,000 HP videos; more than 100,000 manipulated images and 4,000 manipulated videos; 35 million internet images and 300,000  ...  for their technical supports to PAR government; University of Colorado Denver for their professional media manipulations, antiforensic tools, social media laundering tools; the RankOne MediFor team for  ... 
doi:10.1109/wacvw.2019.00018 fatcat:uaao7giua5cs7ivuld5le4x6x4

Forensic Technique for Social Network Provenance Classification of Images

Dhanyaja P
2018 International Journal for Research in Applied Science and Engineering Technology  
Manipulation process will be unique for each social network. Social network provenance based image classification is done through resorting at a trained multi-SVM classifier.  ...  Under this circumstance, the identification of the origin and the propagation path of an online image are crucial for many forensic applications.  ...  Shyjith M.B for providing me constant guidance, encouragement and interesting discussions.  ... 
doi:10.22214/ijraset.2018.4073 fatcat:zndnmr6j3fecnm2zyb5uqssnhm

Media forensics on social media platforms: a survey

Cecilia Pasquini, Irene Amerini, Giulia Boato
2021 EURASIP Journal on Information Security  
done so far on the analysis of shared data, covering three main aspects: forensics techniques performing source identification and integrity verification on media uploaded on social networks, platform provenance  ...  As a result, in the last years the multimedia forensics research community pursued the ambition to scale the forensic analysis to real-world web-based open systems.  ...  samples and reconstructing a phylogeny graph, thus requiring a substantially different approach.  ... 
doi:10.1186/s13635-021-00117-2 doaj:06be9b5b0da9456b97060870239d1f24 fatcat:fquen2fiyfbazo5b5ydvz3ddae

Content Authentication for Neural Imaging Pipelines: End-to-end Optimization of Photo Provenance in Complex Distribution Channels [article]

Pawel Korus, Nasir Memon
2019 arXiv   pre-print
We demonstrate that neural imaging pipelines can be trained to replace the internals of digital cameras, and jointly optimized for high-fidelity photo development and reliable provenance analysis.  ...  Forensic analysis of digital photo provenance relies on intrinsic traces left in the photograph at the time of its acquisition.  ...  We believe it is imperative to consider novel possibilities for security-oriented design of our cameras and multimedia dissemination channels.  ... 
arXiv:1812.01516v2 fatcat:hcyfithgxrdcblhy2vq2gc76ka

Spotting the difference: Context retrieval and analysis for improved forgery detection and localization

Joel Brogan, Paolo Bestagini, Aparna Bharati, Allan Pinto, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer
2017 2017 IEEE International Conference on Image Processing (ICIP)  
As image tampering becomes ever more sophisticated and commonplace, the need for image forensics algorithms that can accurately and quickly detect forgeries grows.  ...  With respect to further directions for this work, the search-andcompare paradigm introduced in this paper lends itself nicely to the task of image provenance analysis and multimedia phylogeny [22, 23]  ...  For example, one set of techniques exploit JPEG artifacts [8] [9] [10] [11] [12] [13] [14] . Another set of approaches utilize Color Filter Array (CFA) footprints [15, 16] .  ... 
doi:10.1109/icip.2017.8297049 dblp:conf/icip/BroganBBPMBFRS17 fatcat:m2ishyzo6faexhe3d3hk4cqys4

Neural Imaging Pipelines - the Scourge or Hope of Forensics? [article]

Pawel Korus, Nasir Memon
2019 arXiv   pre-print
We demonstrate that a neural network can be trained to replace the entire photo development pipeline, and jointly optimized for high-fidelity photo rendering and reliable provenance analysis.  ...  ., down-sampling and re-compression applied upon distribution in the Web) which inhibits reliable provenance analysis.  ...  Syu et al. used CNNs for joint optimization of the color filter array and a corresponding demosaicing filter [25] .  ... 
arXiv:1902.10707v1 fatcat:372p4oeuwjah3feby2vxwar45e

Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization [article]

Joel Brogan, Paolo Bestagini, Aparna Bharati, Allan Pinto, Daniel Moreira, Kevin Bowyer, Patrick Flynn, Anderson Rocha, Walter Scheirer
2017 arXiv   pre-print
As image tampering becomes ever more sophisticated and commonplace, the need for image forensics algorithms that can accurately and quickly detect forgeries grows.  ...  With respect to further directions for this work, the search-andcompare paradigm introduced in this paper lends itself nicely to the task of image provenance analysis and multimedia phylogeny [22, 23]  ...  For example, one set of techniques exploit JPEG artifacts [8] [9] [10] [11] [12] [13] [14] . Another set of approaches utilize Color Filter Array (CFA) footprints [15, 16] .  ... 
arXiv:1705.00604v1 fatcat:qoz4b5chnradzklfz4idodoszy

Media Forensics and DeepFakes: an overview [article]

Luisa Verdoliva
2020 arXiv   pre-print
Therefore, there is an urgent need for automated tools capable of detecting false multimedia content and avoiding the spread of dangerous false information.  ...  With the rapid progress of recent years, techniques that generate and manipulate multimedia content can now guarantee a very advanced level of realism.  ...  Deep learning has proven successful for many computer vision applications, largely advancing the state-of-the-art. Is the same happening in multimedia forensics?  ... 
arXiv:2001.06564v1 fatcat:b3izh3hcmrae5frbd2bv3tmlgu

TraitBank: Practical semantics for organism attribute data

Cynthia S. Parr, Katja S. Schulz, Jennifer Hammock, Nathan Wilson, Patrick Leary, Jeremy Rice, Robert J. Corrigan, Benjamin Adams, Nico Franz, Birgitta König-Ries, Deborah McGuinness, Mark Schildhauer
2016 Semantic Web Journal  
The system takes a semantic approach and also emphasizes practicality and ease of use for experts and non-experts.  ...  In addition to aggregating trait data in existing literature or databases, TraitBank contributes to community-based ontologies and sets the stage for a rapid rise in annotations about attributes on specimens  ...  Eventually, reasoning could be expanded to infer values based on phylogeny, or to leverage semantic similarity for searches.  ... 
doi:10.3233/sw-150190 fatcat:4ewzjzjgandofibxnicbzlbv3u

An approach for pipelining nested collections in scientific workflows

Timothy M. McPhillips, Shawn Bowers
2005 SIGMOD record  
Moreover, he thanks Gianluigi Greco for his recent contribution to the weighted extension, and Alfredo Mazzitelli for his valuable work in designing and implementing the tools for experiments.  ...  When you see these people, please thank them personally for their role in achieving quick reviews of submitted papers.  ...  The PARS and CONSENSE programs are part of the Phylip phylogeny inference package 5 .  ... 
doi:10.1145/1084805.1084809 fatcat:sgtpcat7vzc3veb4dx2jgskpte
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