DeepFakeChain
A Chain of Trust against Fake Multimedia Content
O ne of the latest challenges in the area of visual misinformation is the appearance of DeepFakes, i.e. AI-generated synthetic media using deep learning to create fake videos by swapping the face of a person with the face of another person. DeepFakeChain was funded by NGI TruBlo, an EU-funded project.
Although the scientific community is making progress in implementing tools that can help identify DeepFakes, we are still far from having methods that can automatically recognise any forgery. Even more challenging is the “arms race” nature of the problem, i.e. when new ways appear, new synthetic media may be generated that could circumvent them. To equip the fact-checking community with the necessary knowledge and resources to understand and counter the problem of DeepFakes, we propose the creation of a readily accessible web-based portal consisting of:
Zelus role and contribution:
Zelus worked with BlockChain capabilities to develop a content repository on cyber-attacks and response actions, empowered with blockchain-based security on attempts to compromise such content. Within DFCLab, Zelus aimed to expand its expertise with blockchain and distributed ledger technologies to support channel management, smart contract execution and moderators’ reputation scoring when checking and annotating multimedia online content for deepfakes
- Key Concepts: Deepfake, blockchain, multimedia
- Website: https://www.trublo.eu/deepfakechain/
- Duration: 9 Months
- Start Date: 01/07/2022
- Grant agreement ID: 957228