Privacy preserving image provenance

This project describes how we are using self-sovereign identity technologies to allow photojournalists to distribute and assert ownership of images in a privacy-preserving way. In the video we outline our work so far and provide details of future work on this project. Watch video here.

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DECaDE Research Recognised at CVPR 2026 with Compute Transparency Award

Researchers from DECaDE, part of the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, received international recognition at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 when their paper, TokenTrace, was awarded the CVPR Compute Transparency Champion Award.
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DECaDE Showcases Provenance and Attribution Research at CVPR 2026 

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Government Response to Lords’ Inquiry on AI and Copyright: A DECaDE Perspective

DECaDE has welcomed the Government’s response, published on 15 May 2026, to the House of Lords Communications and Digital Select Committee’s report on AI, copyright and the creative industries, reinforcing the importance of licensing, transparency and technical standards in building a fair and trustworthy AI economy.
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