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Description
An accessible platform that incorporates cutting-edge methods for detecting deepfakes is available for use. Users can upload a single video file from their computer at a time. Deepfakes, which are AI-generated fabricated media, can create misleading representations of individuals and their actions, posing significant risks when misused. The DeepFake-o-meter, created by the UB Media Forensics Lab, is an open-source tool designed to identify deepfake technologies created by third parties. It offers a user-friendly service that allows for the analysis of deepfake content using various advanced detection techniques, ensuring that results are delivered securely and privately. Additionally, it features an API framework that enables developers to integrate their deepfake detection algorithms and execute them on a remote server. Furthermore, it serves as a valuable resource for researchers in digital media forensics, providing a platform for assessing and benchmarking the effectiveness of different detection algorithms against one another. This multifaceted approach ultimately enhances the fight against the misuse of deepfake technology.
Description
SWEAR functions as a security and content-authenticity platform that ensures the verification and protection of audio and video media in real-time from the moment they are captured. It generates a unique "Digital DNA" for each individual frame, pixel, and audio clip during the recording process, with this metadata being securely stored on an independent, immutable blockchain ledger, which facilitates the detection of any future alterations. Users are able to confirm the integrity of footage by comparing its current form against the original authenticated version, providing instant proof of authenticity when needed. The platform is specifically engineered to protect sensitive applications, such as legal evidence, surveillance, public safety, and corporate security, thereby ensuring a reliable chain of custody while preserving the integrity of media whether in transit or storage. SWEAR’s security framework seamlessly integrates with various recording devices and cameras, and it also features a mobile application for added convenience. Additionally, the technology offers comprehensive metadata tracking, which encompasses frame rate, resolution, and even intricate pixel-level details, ensuring robust immutable provenance and security measures throughout the media lifecycle. This multifaceted approach not only enhances trust in media authenticity but also empowers users to confidently utilize the technology across a wide range of critical scenarios.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
UB Media Forensics Lab
Founded
2020
Country
United States
Website
zinc.cse.buffalo.edu/ubmdfl/deep-o-meter/
Vendor Details
Company Name
SWEAR
Country
United States
Website
swear.com