Content in this section are developed by Tai Akinlosotu (High School Student), and supervised by the faculty team.
Audio
Audio
Provides real time risk analysis and speaker verification for incoming calls to the agent examining the unique voice characteristics. Keeps track of the Interactive Voice Response (IVR) system, giving alerts for customers at risk with warning signals. [1]
Audio
Identifies AI generated audio through DNN based models and disects audio to examine clues of AI manipulation that are difficult for humans to detect. Puts audio data through “spectrogram-like time-frequency embeddings”, which goes through a classification process. Probability ranging from 0 to 1, with 1 insuating that there is a high chance of the audio being fake. [3]
Audio, Video, Image
Uses a high level of deep neural networks (DNN) and convolutional neural networks (CNN) to detect deepfakes at a high rate of accuracy. [5]
Audio
Uses cutting-edge machine learning algorithms to detect fake audio. The tool looks through different characteristics of audio data, and gives a thorough report on the chance of the voice being AI-generated. [6]
Audio
An advanced platform for detecting AI-manipulated media to counter deep fakes and synthetic fraud, safeguarding against risks such as identity theft, celebrity impersonation, and bypassing ID verification. [7]
Audio
AI Voice Detector is a voice verification tool to detect AI-generated audio. It uses ML algorithms to analyze speech patterns in audio recordings. [10]
Audio, Video, Image
Uses advanced AI algorithms to identify AI manipulation in videos. [11]
Audio
“Uses advanced AI detection techniques including transformer-based Deep Neural Network (DNN) models”. [14]
Audio, Video, Image
Analyzing content for AI-driven manipulations by detecting tampering indicators. Users can upload media, select a desired detection model, and the tool examines inconsistencies, delivering a score that reflects the probability of AI manipulation to aid in identifying deepfakes and digital fabrication. [21]
Audio, Video, Image, Text
Protects against AI videos, images, text, and voices. Analyzes content through AI algorithms trained on a great number of real and fake deepfake models to detect signs of manipulation. [23]
Video
Audio, Video, Image
Uses a high level of deep neural networks (DNN) and convolutional neural networks (CNN) to detect deepfakes at a high rate of accuracy. [5]
Audio, Video, Image
Uses advanced AI algorithms to identify AI manipulation in videos. [11]
Audio, Video, Image
Analyzing content for AI-driven manipulations by detecting tampering indicators. Users can upload media, select a desired detection model, and the tool examines inconsistencies, delivering a score that reflects the probability of AI manipulation to aid in identifying deepfakes and digital fabrication. [21]
Audio, Video, Image, Text
Protects against AI videos, images, text, and voices. Analyzes content through AI algorithms trained on a great number of real and fake deepfake models to detect signs of manipulation. [23]
Video
Intel’s deepfake detector examines “blood flow” within video pixels to deliver results quickly with 96% accuracy [15]. By analyzing natural indicators in real videos—such as slight color changes in facial veins from blood flow—this system captures signals across the face. Algorithms then convert these signals into spatiotemporal maps, which deep learning models use to identify if a video is genuine or manipulated. [17]
Microsoft’s Video Authenticator
Video, Image
Providing percentage chance, or confidence score, that the content is artificially manipulated or generated. [19] For videos, the system can display this detection percentage in real-time for each frame as the video plays. [19]
Image
Audio, Video, Image
Uses a high level of deep neural networks (DNN) and convolutional neural networks (CNN) to detect deepfakes at a high rate of accuracy. [5]
Audio, Video, Image
Uses advanced AI algorithms to identify AI manipulation in videos. [11]
Audio, Video, Image
Analyzing content for AI-driven manipulations by detecting tampering indicators. Users can upload media, select a desired detection model, and the tool examines inconsistencies, delivering a score that reflects the probability of AI manipulation to aid in identifying deepfakes and digital fabrication. [21]
Audio, Video, Image, Text
Protects against AI videos, images, text, and voices. Analyzes content through AI algorithms trained on a great number of real and fake deepfake models to detect signs of manipulation. [23]
Microsoft’s Video Authenticator
Video, Image
Providing percentage chance, or confidence score, that the content is artificially manipulated or generated. [19] For videos, the system can display this detection percentage in real-time for each frame as the video plays. [19]
Text
Audio, Video, Image, Text
Protects against AI videos, images, text, and voices. Analyzes content through AI algorithms trained on a great number of real and fake deepfake models to detect signs of manipulation. [23]