A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Forensic Technique for Social Network Provenance Classification of Images
2018
International Journal for Research in Applied Science and Engineering Technology
Preserved Fulltext
This paper enlightens image classification based on originating social network. Since image has distinctive traces by social network. 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. ...
CONCLUSION The paper is more effective in way to classify an image based on its originating social network. ...
doi:10.22214/ijraset.2018.4073
fatcat:zndnmr6j3fecnm2zyb5uqssnhm
Tracing images back to their social network of origin: A CNN-based approach
2017
2017 IEEE Workshop on Information Forensics and Security (WIFS)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a novel method based on convolutional neural networks (CNN) to determine the image provenance, whether it originates from a social network, a messaging application or directly ...
We have tested the proposed technique on three publicly available datasets of images downloaded from seven popular social networks, obtaining state-of-the-art results. ...
CONCLUSIONS AND FUTURE WORKS This paper has proposed a new methodology based on convolutional neural networks (CNN) to go back to the social network of provenance of a certain image without resorting at ...
doi:10.1109/wifs.2017.8267660
dblp:conf/wifs/AmeriniUC17
fatcat:6g3ljc2gjnaw3cztias3dszzza
PRNU-based Image Classification of Origin Social Network with CNN
2018
2018 26th European Signal Processing Conference (EUSIPCO)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
A huge amount of images are continuously shared on social networks (SNs) daily and, in most of cases, it is very difficult to reliably establish the SN of provenance of an image when it is recovered from ...
We demonstrate, in this paper, that SNmodulated noise residual can be adopted as a feature to detect the social network of origin by means of a trained convolutional neural network (CNN). ...
network of provenance of a certain image. ...
doi:10.23919/eusipco.2018.8553160
dblp:conf/eusipco/CaldelliAL18
fatcat:kjbxfvttyjc5dc5jhydfz65iue
Provenance Inference for Instagram Photos through Device Fingerprinting
2020
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
However, the emergence of photosharing social networking sites (SNSs) poses new challenges to SPN-based digital image provenance analysis. ...
INDEX TERMS sensor pattern noise, image clustering, social network, digital forensics, provenance analysis. ...
EXISTING SPN-BASED PROVENANCE ANALYSIS ON INSTAGRAM IMAGES VOLUME 4, 2016
A. ...
doi:10.1109/access.2020.3022837
fatcat:wppwrqvwgvcztdvadr5prcaiay
Unifying Multimodal Source and Propagation Graph for Rumour Detection on Social Media with Missing Features
[article]
2023
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Given that not every message in social media is associated with an image and community responses in propagation graphs do not immediately follow source messages, our aim is to build a network architecture ...
Current methods for rumour detection can be categorized into image-text pair classification and source-reply graph classification. ...
These two features have been proven effective for rumour detection on social media. ...
arXiv:2206.04832v2
fatcat:pgu2ujtaj5ayloukhhbvor4rpq
Social Network Identification through Image Classification with CNN
2019
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Identification of the source social network based on the downloaded images is an important multimedia forensic task with significant cybersecurity implications in light of the sheer volume of images and ...
Such a task has been proved possible by exploiting distinctive traces embedded in image content by social networks (SNs). ...
The goal of SN and IMA identification in multimedia forensics is to establish the provenance of an image based on the characteristics imprinted by those platforms within the image. ...
doi:10.1109/access.2019.2903876
fatcat:stho6rxewbdmzfh5vquo7unrla
Survey Of Machine Learning Text Based Message S(Text And Image) Filtering From Osn User Wall
2018
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
As we know, today everyone is using On-line Social Networks (OSNs) to communicate and share information. ...
Therefore one important need in today On-line Social Networks (OSNs) is to give users the ability to control the messages posted on their own private space to avoid that unwanted content is displayed. ...
In particular, we base the overall short text classification strategy on Radial Basis Function Networks (RBFN) for their proven capabilities in acting as soft classifiers, in managing noisy data and intrinsically ...
doi:10.5281/zenodo.1411181
fatcat:c5bsejzydvesraqqt65u4dcmhe
Integrating Vision and Language in Social Networks for Identifying Visual Patterns of Personality Traits
2019
International Journal of Social Science and Humanity
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Following this trend on visual-based social analysis, we present a novel methodology based on neural networks to build a combined image-and-text based personality trait model, trained with images posted ...
Thus, the experimental results are consistent with previous cyber-psychology results based on texts, suggesting that images could also be used for personality estimation: classification results on some ...
Alvaro Granados Villodre for their invaluable help with the ontology of words and the images used in the experiments. We also ...
doi:10.18178/ijssh.2019.v9.981
fatcat:rs3aw6mpl5fvdiwcf46y5ltet4
Multimodal Classification of Violent Online Political Extremism Content with Graph Convolutional Networks
2017
Proceedings of the on Thematic Workshops of ACM Multimedia 2017 - Thematic Workshops '17
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
were recently proven effective in classification tasks on knowledge graphs. ...
In this paper we present a multimodal approach to categorizing user posts based on their discussion topic. ...
Similarly, spectral graph convolutional neural networks, originally proposed in [6] and extended in [9] were proven effective in classification of handwritten digits and news texts. ...
doi:10.1145/3126686.3126776
dblp:conf/mm/RudinacGW17
fatcat:kxpmaws5yzeovijqlg57rsd3xe
Provenance-Based Rumor Detection
[chapter]
2017
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a provenanceaware approach based on recurrent neural network to combine the provenance information and the text of the post itself to improve the accuracy of rumor detection. ...
With the advance of social media networks, people are sharing contents in an unprecedented scale. This makes social networks such as microblogs an ideal place for spreading rumors. ...
Conclusions In this paper, we propose a provenance-based approach to detect rumor. ...
doi:10.1007/978-3-319-68155-9_10
fatcat:ydmhynpehfegxiu43rpsuix4la
Fake News Detection Based on Text-Modal Dominance and Fusing Multiple Multi-Model Clues
2024
Computers Materials & Continua
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
TD-MMC is dominated by textural content and assisted by image information while using social network information to enhance text representation. ...
Extensive experiments have been conducted on two public real-world English and Chinese datasets, and the results show that our proposed model outperforms the state-of-the-art methods on classification ...
W/o social graph: This variant only uses the original text and image and removes social graph network information to detect fake news in this variant. ...
doi:10.32604/cmc.2024.047053
fatcat:pfg47vjd3vdtzkjca25weus564
Identification of Social-Media Platform of Videos through the Use of Shared Features
2021
Journal of Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
social platform through the use of shared features with images trained on the same task. ...
Then, we introduce a model based on multitask learning, which learns from both tasks simultaneously. ...
small set of images or videos originating from social networks. ...
doi:10.3390/jimaging7080140
pmid:34460776
pmcid:PMC8404930
fatcat:5rx7oh6lafa7xkkkgvg773fehe
Media forensics on social media platforms: a survey
2021
EURASIP Journal on Information Security
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
uploaded on social networks, platform provenance analysis allowing to identify sharing platforms, and multimedia verification algorithms assessing the credibility of media objects in relation to its associated ...
The dependability of visual information on the web and the authenticity of digital media appearing virally in social media platforms has been raising unprecedented concerns. ...
Each image is provided in the original camera-native version, and five copies from social networks. In relation to the platform provenance analysis the types of datasets used are more various. ...
doi:10.1186/s13635-021-00117-2
doaj:06be9b5b0da9456b97060870239d1f24
fatcat:fquen2fiyfbazo5b5ydvz3ddae
Image and Video Forensics
2021
Journal of Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Nowadays, images and videos have become the main modalities of information being exchanged in everyday life, and their pervasiveness has led the image forensics community to question their reliability, ...
Acknowledgments: We express our sincere gratitude to the authors for their contributions, to the reviewers for their efforts in reviewing the manuscripts, and to the editorial staff of the MDPI Journal of Imaging ...
hope it will benefit the scientific community and increase the interest in this exciting area of research, providing new perspectives for the development of proper security enhancement approaches for image ...
doi:10.3390/jimaging7110242
pmid:34821873
pmcid:PMC8625139
fatcat:7rlnho2ftre2fka3iailviw344
No Matter What Images You Share, You Can Probably Be Fingerprinted Anyway
2021
Journal of Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We validate the proposed methods by two datasets, our dataset and the VISION dataset, both including original and shared images on the SN platforms such as Google Currents, Facebook, WhatsApp, and Telegram ...
The popularity of social networks (SNs), amplified by the ever-increasing use of smartphones, has intensified online cybercrimes. This trend has accelerated digital forensics through SNs. ...
Data Availability Statement: The dataset is available from: http://smartdata.cs.unibo.it/datasets# images, accessed on 10 February 2021. ...
doi:10.3390/jimaging7020033
pmid:34460632
pmcid:PMC8321276
fatcat:zt526a7e4bf6facoeij3ylvrba
« Previous
Showing results 1 — 15 out of 55,598 results