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Deepfake Text Detection: Limitations and Opportunities
[article]
2022
arXiv
pre-print
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Therefore, deepfake text detection, the task of discriminating between human and machine-generated text, is becoming increasingly critical. ...
Our evaluation shows that tapping into the semantic information in the text content is a promising approach for improving the robustness and generalization performance of deepfake text detection schemes ...
We thank Neal Mangaokar for discussions of text decoding strategies and their impact on text generation. ...
arXiv:2210.09421v1
fatcat:dcmateio7fhddis44gx3a6acli
TweepFake: About detecting deepfake tweets
2021
PLoS ONE
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We hope that TweepFake can offer the opportunity to tackle the deepfake detection on social media messages as well. ...
Lastly, we evaluated 13 deepfake text detection methods (based on various state-of-the-art approaches) to both demonstrate the challenges that Tweepfake poses and create a solid baseline of detection techniques ...
Deepfake detecting strategies are continuously developed, from deepfake video [6] [7] [8] to audio [9] and text detection methods. ...
doi:10.1371/journal.pone.0251415
pmid:33984021
pmcid:PMC8118345
fatcat:37wt7l2w3vdpdnr2udwj4fo7wu
TweepFake: about Detecting Deepfake Tweets
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2008.00036v1 fatcat:liwhnem5nnbbhhcw7ozv6wzoba
We hope that TweepFake can offer the opportunity to tackle the deepfake detection on social media messages as well. ...
Lastly, we evaluated 13 deepfake text detection methods (based on various state-of-the-art approaches) to both demonstrate the challenges that Tweepfake poses and create a solid baseline of detection techniques ...
Deepfake detecting strategies are continuously developed -from deepfake video [9] [10] [11] to audio [12] and text detection methods. ...
arXiv:2008.00036v2
fatcat:ljuernmicjckblwxdgraolwjy4
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities
[article]
2022
arXiv
pre-print
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Diversity and the widespread of deepfakes made their timely detection a significant challenge. ...
In this paper, we first offer background information and a review of previous works on the detection and deterrence of deepfakes. ...
While this paper is focused on development of technical solutions for early detection and deterrence of deepfakes, the effectiveness of our solutions (or any technical solution in cybersecurity) are limited ...
arXiv:2211.14667v1
fatcat:mjjeg2wlcjfibdsi4j3urupfj4
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection
[article]
2022
arXiv
pre-print
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Accordingly, the means of defense include image tampering detection and Deepfake detection, which share a wide variety of properties. ...
Depending on the content of the targeted images, media forgery could be divided into image tampering and Deepfake techniques. ...
A text-driven generative model [27] , [29] , [45] typically contains an image encoder and a text encoder, from which the latent representations of the source image and the driving information are respectively ...
arXiv:2212.05667v1
fatcat:iuqs2d3qhbay3gryewjlbk75jm
Deepfake Detection Using Multiple Data Modalities
[chapter]
2022
Advances in Computer Vision and Pattern Recognition
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In this chapter, we introduce several approaches to detect deepfakes. These approaches leverage different data modalities, including video and audio. ...
., video-based and audio-based analysis) provides forensic analysts an opportunity to identify inconsistencies with higher accuracy. ...
and FA8750-20-2-1004. ...
doi:10.1007/978-3-030-87664-7_11
fatcat:g47hyqfkvfa2jgije22txxk2om
Deepfakes Generation and Detection: A Short Survey
2023
Journal of Imaging
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(i.e., DeepFake generation methods) and defenders (i.e., DeepFake detection methods). ...
This paper is expected to aid the readers in comprehending deepfake generation and detection mechanisms, together with open issues and future directions. ...
Thus, this article discussed some of the open challenges and research opportunities. ...
doi:10.3390/jimaging9010018
pmid:36662116
pmcid:PMC9863015
fatcat:4m7rtceuufemllczx5rjgtvz44
Creation and Detection of German Voice Deepfakes
[article]
2021
arXiv
pre-print
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With a focus on German language and an online teaching environment we discuss the societal implications as well as demonstrate how to use machine learning techniques to possibly detect such fakes. ...
A user study with more than 100 participants shows how difficult it is to identify real and fake voice (on avg. only 37 percent can distinguish between real and fake voice of a professor). ...
Use Cases Deepfakes can create possibilities and opportunities for several types of communication. ...
arXiv:2108.01469v1
fatcat:mppnenow3bdgfeqtruqfa2b7eu
Detection of Real-time DeepFakes in Video Conferencing with Active Probing and Corneal Reflection
[article]
2022
arXiv
pre-print
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In this paper, we describe a new active forensic method to detect real-time DeepFakes. ...
However, the increasing reliance on video calls provides opportunities for new impersonation attacks by fraudsters using the advanced real-time DeepFakes. ...
Compared with the work in [7] , our active detection method is less limited by the lighting environment. ...
arXiv:2210.14153v1
fatcat:55kjumrrhbecvctdoxou73qaoi
Learning Self-Consistency for Deepfake Detection
[article]
2021
arXiv
pre-print
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We introduce a novel representation learning approach, called pair-wise self-consistency learning (PCL), for training ConvNets to extract these source features and detect deepfake images. ...
We propose a new method to detect deepfake images using the cue of the source feature inconsistency within the forged images. ...
Limitations Although our results are encouraging, our approaches still have limitations, which raise opportunities for future work. ...
arXiv:2012.09311v2
fatcat:aborl5hiwffihfqagp2gze2hhy
Detection of Deepfake Environmental Audio
[article]
2024
arXiv
pre-print
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We propose a simple and efficient pipeline for detecting fake environmental sounds based on the CLAP audio embedding. ...
Although the detection of fake speech signals has been studied extensively, this is not the case for the detection of fake environmental audio. ...
There are different types of Deepfake Audio: Text-to-Speech [3] , Voice conversion [4] , emotion fakes [5] , scene fakes [6] , and partial fakes [7] . ...
arXiv:2403.17529v1
fatcat:wcq26bpscvel7epgavt3t2v3v4
A Review of Modern Audio Deepfake Detection Methods: Challenges and Future Directions
2022
Algorithms
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The article introduces types of AD attacks and then outlines and analyzes the detection methods and datasets for imitation- and synthetic-based Deepfakes. ...
Moreover, at the end of this article, the potential research directions and challenges of Deepfake detection methods are discussed to discover that, even though AD detection is an active area of research ...
Synthetic-based or Text-To-Speech (TTS) aims to transform text into acceptable and natural speech in real time [9] and consists of three modules: a text analysis model, an acoustic model, and a vocoder ...
doi:10.3390/a15050155
fatcat:g4bw7lnu7nhdbizg2c62ppwf74
An Enhanced Deep Learning-Based DeepFake Video Detection and Classification System
2022
Electronics
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Because DeepFake production tools have advanced so much and since so many researchers and businesses are interested in testing their limits, fake media is spreading like wildfire over the internet. ...
Therefore, this study proposes five-layered convolutional neural networks (CNNs) for a DeepFake detection and classification model. ...
Acknowledgments: The work of Agbotiname Lucky Imoize is supported in part by the Nigerian Petroleum Technology Development Fund (PTDF) and in part by the German Academic Exchange Service (DAAD) through ...
doi:10.3390/electronics12010087
fatcat:64pjspdmtnckdn5r7yo2oqs7bi
A Review of Deep Learning-based Approaches for Deepfake Content Detection
[article]
2023
arXiv
pre-print
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2022 pre-print arXiv:2202.06095v1 fatcat:27ogp2kj4jayvmoe5xbhhi33liOther Versions
Furthermore, we report the advantages and drawbacks of the examined works and future directions towards the issues and shortcomings still unsolved on deepfake detection. ...
This paper presents a comprehensive review of recent studies for deepfake content detection using deep learning-based approaches. ...
Further, Section 4 addresses the most recent and popular datasets employed for deepfake detection, and Section 5 discusses the opportunities and challenges faced by the works considered in this survey. ...
arXiv:2202.06095v2
fatcat:nahwdood4vbu7oemzbh7j5ycdy
Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion
[article]
2023
arXiv
pre-print
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This technology poses a significant ethical threat and could lead to breaches of privacy and misrepresentation, thus there is an urgent need for real-time detection of AI-generated speech for DeepFake ...
All data generated for this study is released publicly for future research on AI speech detection. ...
Background This section explores related work in the field, providing background information on deepfakes and synthetic media, as well as their detection. ...
arXiv:2308.12734v1
fatcat:whcc76dyzvalnb7rjvg3farzc4
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