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