The Fragility of Trigger-Tag Mechanisms for Misuse Detection in Open-Weight LLMs
Open-weight language models can be downloaded, modified, and deployed beyond their developers' control, limiting the effectiveness of centrally enforced safeguards. Recent work has therefore proposed \emph{trigger-tag} mechanisms that produce a detectable signal when a model is used under a target condition, such as generating phishing contents. Although these mechanisms borrow from established techniques, their use for conditional misuse detection in open-weight LLMs is relatively new. Therefore, existing research works have not systematically studied the robustness of trigger-tag mechanisms under adversarial attacks. To close this gap, (i)~we formalize trigger-tags and distinguish \emph...
| Authors | Toluwani Aremu, Manit Baser, Mohan Gurusamy et al. |
|---|---|
| Primary category | cs.CR |
| Published | 2 October 2026 |
| Last updated at source | 2 October 2026 |
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