AI Use Case

Detect manipulated or falsified media

Detect manipulated or falsified media to discover attempts to damage reputations or create unwarranted legal situations. The rise in concerns over `fake news` deployment - especially at such sensitive times as during an election - is a growing area of security and media concern. with potentially huge ramifications.

Function

Benefits

Risk reduction - Spot issue (eg copyright infringement)

Case Studies

Adobe Systems~Adobe is developing technology to detect manipulation in images using a deep neural network,New York University ~Scientists at New York University improve image manipulation detection accuracy from 45% to 90% using machine learning

Industry

Public And Social Sector

Security

Data Sets

Images,Audio,Video

AI Technologies

Model Architecture - R-CNN,Model Architecture - Deep Neural Networks,Model Architecture - Artificial Neural Network (ANN),Machine Learning (ML),Image Processing - Feature Extraction,Model Architecture - RNN - Bidirectional Long Short-Term Memory (LSTM),Model Architecture - RNN - Long Short-Term Memory (LSTM),ML Task - Prediction - Regression,ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification

Potential Vendors

Adobe