Digital, Semantic and Physical Analysis of Media Integrity

Abstract

In this report, we present summary of the digital, physical and semantic image forensics and integrity methods developed by the DiSPARITY team, lead by the University of Southern California Information Sciences Institute, under DARPA's Media Forensics program between 2016 and 2020. The team also included University of Naples, Italy and University of Erlangen-Nuremberg, Germany. The DiSparity team has developed various state of the digital integrity methods (e.g. NoisePrint, GAN fingerprint and ManTra-Net), physical integrity (e.g. segmentation-free light direction estimation and analysis of incident light direction).

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Document Details

Document Type
Technical Report
Publication Date
Mar 24, 2021
Accession Number
AD1125696

Entities

People

  • Annalisa Verdoliva
  • Christian Riess
  • Ramakant Nevatia
  • Wael AbdAlmageed

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Graphics
  • Computer Vision
  • Computers
  • Convolutional Neural Networks
  • Deep Learning
  • Deepfakes
  • Detection
  • Detectors
  • Digital Images
  • Dimensionality Reduction
  • Feature Extraction
  • Information Exchange
  • Information Science
  • Machine Learning
  • Neural Networks
  • Pattern Recognition
  • Social Media
  • Supervised Machine Learning

Readers

  • Academic Conference Management
  • Computer Vision.
  • Cybersecurity.