Visual Information Processing and Protection Group


DISCOVER: A Data-Driven Integrated Approach for Semantic Inconsistencies Verification

  • FUNDING INSTITUTE - DARPA and Air Force Research Laboratory
  • BUDGET -  400.000 USD
  • PARTNERS - Purdue University (COORDINATOR), University of Siena, University of Notre Dame, Politecnico di Milano, Universit√† di Napoli Federico II

Media manipulation tools and generation techniques have rapidly proliferated the digital world. For example, the advent of GANs has led to more realistic and seamless manipulations that can fool even experts. However, these approaches rely on large amounts of data and often miss semantic details when attempting complex manipulations and generation. The US Department of Defense (DoD) would like to be able to extract knowledge from media assets and use semantic information to detect manipulations. The goal of this research project is to develop a set of forensics tools to determine the integrity, semantic consistency, source, and intent of media assets such as images, videos, and documents.

This material is based on research sponsored by the Defense Advanced Research Projects Agency (DARPA) and the Air Force Research Laboratory (AFRL) under agreement number FA8750-20-2-1004. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of DARPA and AFRL or the U.S. Government.

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