DeepFake-o-meterUB Media Forensics Lab
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IDLive Face PlusID R&D
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About
An open platform integrating state-of-the-art deepfake detection methods. You can upload a video from your computer, note that should upload only one video each time. Deepfakes refer to AI-synthesized fake media, by creating illusions of an individual's presence and activities that did not occur in reality, deepfakes can cause real harm when they are weaponized. DeepFake-o-meter is an open source and user-friendly online platform developed by the UB Media Forensics Lab to detect third-party deepfake algorithms. For users, it provides a convenient service to analyze deepfake media with multiple state-of-the-art detection algorithms, with secure and private delivery of the analysis result. For developers of deepfake detection algorithms, it provides an API architecture to wrap individual algorithms and run them on a remote machine. For researchers of digital media forensics, it is an evaluation/benchmarking platform to compare the performance of multiple algorithms.
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About
IDLive Face Plus complements IDLive Face presentation attack detection with injection attack detection, providing comprehensive protection from deepfakes and other types of fraudulent digital imagery. Detect injection attacks that use virtual and external cameras. Prevent browser JavaScript code modifications on both desktops and mobile devices. Prevent man-in-the-middle replay attacks. Protect from emulators, cloning apps, and other software used for fraud. Improve presentation attack detection performance. Facial recognition security relies on presentation attack detection (PAD) to ensure that a biometric selfie is not actually a fraudster presenting a non-live facial image to the camera, such as a printed copy, screen replay, or 3D mask. IDLive Face Plus combines award-winning presentation attack detection with a unique approach to injection attack detection to prevent deepfakes and other fraudulent digital content.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Researchers and any user in search of a tool to detect and analyze deepfake media
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Audience
Companies and users seeking a solution to help prevent deepfake fraud
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationUB Media Forensics Lab
Founded: 2020
United States
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/
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Company InformationID R&D
United States
www.idrnd.ai/idlive-face-plus-injection-attack-detection-deepfake-protection/
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Categories |
Categories |
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Integrations
Docker
IDLive Face
JavaScript
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