Image Against Oppression: Adversarial Degradation as a VJ Interface for Critical Encounter with Sensitive Network Images
- Ziling Zhou (Murphy Nile)Goldsmiths, University of London
Abstract
Image Against Oppression is an online audiovisual project performed with TouchDesigner and a MIDI controller. Using a locally stored corpus of internet-circulated sensitive imagery, the work performs adversarial degradation as a VJ interface through blur, thresholding, temporal stutter, displacement, and rhythmic blackouts. The paper frames this method as interface consciousness: a critical awareness of how seeing is conditioned by warnings, loops, and thresholds.
Preprint on interactives
Posted: May 5, 2026
Keywords
Media ArtCritical HCIInteractive ArtsLivestream
Cite or
Nile), Z. Z. (. (2026). Image Against Oppression: Adversarial Degradation as a VJ Interface for Critical Encounter with Sensitive Network Images [Preprint]. interactives Preprints. https://doi.org/10.64560/82107869