Author

Théo Lasnier

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#natural language process... Preprint Oct 2026

TrustMI: Causally controlling how assistants trust their users

Large Language Model (LLM) assistants routinely decide whether they can trust users and third parties whose competence, intentions, and integrity they cannot verify. This uncertainty matters for safety, as trusting the wrong party can lead an agent to comply with harmful requests or act on malicious instructions encoun...

Théo Lasnier, Romain Froger, Maxence Lasbordes et al. · 0 citations

#natural language process... Preprint Sep 2026

LLM Forensics: Where Do Backdoors Hide? Localizing and Controlling Trigger Mechanisms with Sparse Autoencoders

These token-trigger mechanisms decompose into distinct SAE feature directions, with separate features for trigger detection, residual-stream propagation, and later language tracking, with this role-level decomposition most likely to transfer to other trigger-based backdoors, even when the payload, layers, or circuit lo...

Wissam Antoun, Francis Kulumba, Théo Lasnier et al. · 1 citation