DeepFake-o-meter

DeepFake-o-meter

UB Media Forensics Lab
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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.

About

Frame is the new standard for security awareness, built to defend against AI-powered threats by learning your organization and creating personalized security training, simulations, and deepfake scenarios in minutes. Unlike legacy awareness tools that rely on generic libraries, Frame generates training and simulations from your world: your threats, policies, roles, technology stack, and real organizational context. It trains employees for everything, not just phishing, with personalized content on deepfake awareness, AI-powered social engineering, secure coding, sophisticated threats, compliance, privacy, developer training, and industry security news. Its simulations feel real because they are crafted from organizational context, including hyper-realistic phishing emails, voice calls, and deepfake videos, with adaptive difficulty that scales with each employee and multichannel campaigns that mirror what real adversaries do.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Researchers and any user in search of a tool to detect and analyze deepfake media

Audience

Enterprise security teams that need personalized awareness training, deepfake simulations, phishing triage, and human risk reduction against AI-powered social engineering

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

UB Media Forensics Lab
Founded: 2020
United States
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/

Company Information

Frame
United States
framesecurity.com

Alternatives

Alternatives

Categories

Categories

Integrations

Gmail
Google Cloud Platform
Microsoft 365
Microsoft Outlook
Microsoft Teams
Slack

Integrations

Gmail
Google Cloud Platform
Microsoft 365
Microsoft Outlook
Microsoft Teams
Slack
Claim DeepFake-o-meter and update features and information
Claim DeepFake-o-meter and update features and information
Claim Frame and update features and information
Claim Frame and update features and information