TEMPO-Diffusion: Temporally Exposed Malicious Poisoning of Diffusion Models
Noise-based backdoor attacks on diffusion models typically rely on input-time trigger injection, untargeted activation, and out-of-distribution target generation. Such assumptions reduce both the stealthiness and the practical relevance of these attacks. In this work, we present TEMPO-Diffusion, a targeted backdoor framework that localizes the malicious distribution shift to a temporal, in-distribution exposure. TEMPO-Diffusion supports: (i) targeted attacks on and to specific classes, (ii) multiple sub-image backdoors that reconstruct specific features within multiple, different output images and at multiple locations, and (iii) in-painting with time-conditioned triggers. To study releva...
| Authors | William Aiken, Paula Branco, Guy-Vincent Jourdan et al. |
|---|---|
| Primary category | cs.CR |
| Published | 24 June 2026 |
| Last updated at source | 24 June 2026 |
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