7 papers
Soft Redaction of Image Provenance via Zero-Knowledge Proofs
Muhammad Awan, John Collomosse
Content provenance standards, such as C2PA, are increasingly used to attach signed records of origin, editing history, and rights to digital images. However, provenance transparenc…
The Warrant Gap: Claim-Conditioned Re-scoring for Fact-Checking
Arka Ujjal Dey, John Collomosse
Fact-checking systems built on LLMs achieve high verdict accuracy on standard benchmarks, yet routinely output Supports labels whose cited evidence does not license the claim. Stru…
MAD-Sherlock: Multi-Agent Debate for Visual Misinformation Detection
Kumud Lakara, Georgia Channing, Christian Rupprecht +4
One of the most challenging forms of misinformation involves pairing images with misleading text to create false narratives. Existing AI-driven detection systems often require doma…
Fact-Checking with Contextual Narratives: Leveraging Retrieval-Augmented LLMs for Social Media Analysis
Arka Ujjal Dey, Muhammad Junaid Awan, Georgia Channing +2
We propose CRAVE (Cluster-based Retrieval Augmented Verification with Explanation); a novel framework that integrates retrieval-augmented Large Language Models (LLMs) with clusteri…
Content ARCs: Decentralized Content Rights in the Age of Generative AI
Kar Balan, Andrew Gilbert, John Collomosse
The rise of Generative AI (GenAI) has sparked significant debate over balancing the interests of creative rightsholders and AI developers. As GenAI models are trained on vast datas…
MultiNeRF: Multiple Watermark Embedding for Neural Radiance Fields
Yash Kulthe, Andrew Gilbert, John Collomosse
We present MultiNeRF, a 3D watermarking method that embeds multiple uniquely keyed watermarks within images rendered by a single Neural Radiance Field (NeRF) model, whilst maintain…