Microsoft study plants backdoors by editing fewer than 10 dormant neurons
11/11/2026 — 11/11, 17:20·1 sources (all)·1 reports (all)
Key takeaways
- Microsoft researchers found that large language models contain rarely activated neurons, and that editing fewer than 10 of these dormant neu…
Background & analysis
On November 11, 2026, The Next Web reported that Microsoft researchers had found a way to implant a hidden backdoor into a large language model by altering fewer than 10 rarely activated neurons. The researchers described how these so-called dormant neurons could be repurposed so that the model behaves normally in everyday use, only following a specific trigger does it carry out malicious commands. The technique was named Lazarus.
Only this single report is available at present, so further developments — such as additional technical disclosures from Microsoft, independent verification, or a response from the company — cannot be confirmed from the available material. The story is therefore currently at the initial reporting stage, with the technique described as a research finding rather than as an incident involving deployed models.
AI-generated from 1 reports · updated 2 days ago
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Reports on this story headlines open the original
Microsoft researchers found that fewer than 10 rarely activated neurons in a large language model can be turned into a hidden backdoor, according to The Next Web. The model behaves normally until a specific trigger appears, then carries out malicious commands; the technique is called Lazarus.
The Next WebAI score 65
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