Author

Roberto Riaño

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Jul 2026

Temporal Poisoning: Clean-Label Backdoors via Event Redistribution in SNNs

Backdoor attacks on Spiking Neural Networks (SNNs) have primarily assumed dirty-label poisoning, in which triggered training samples are relabeled to an attacker-selected class. We study clean-label temporal poisoning, where a fixed timestamp transformation is applied only to the target-class training streams, leaving...

Roberto Riaño, Gorka Abad, S. Picek et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Sep 2026

When the World Lies: Backdoor Attacks on Latent World Models for Downstream Control

Pretrained world models, learned simulators that encode an observation into a latent state and predict how it evolves under actions, are beginning to be reused as off-the-shelf dynamics backbones for control, like pretrained encoders and language models are reused today. We show that this reuse opens a supply-chain bac...

Roberto Riaño, Gorka Abad, S. Picek et al. · 0 citations