Microsoft Research · Backdoor attack research
Lazare, veni foras: Reprogramming Dormant Neurons to Backdoor AI Agents
Microsoft researchers describe 'Lazarus', a backdoor technique that reprograms fewer than 10 dormant neurons in an LLM to trigger malicious commands in an agent built on it, without retraining. The backdoored model passes standard evaluations until a trigger appears, such as a date change. The authors say a linear classifier fitted on around 50 examples can detect the trigger, and that frontier agents can spot anomalous weight edits when asked. The post also covers Microsoft Foundry's provenance controls and planned defences such as weight scanning and cryptographic model signing.
Open the source ↗Similar Research & Safety releases
- Concerning behaviour from Qwen3.8-Flash-Next
Cohere · Open-weight model safety · Week 45, 2026
- ExploitGym Incident
OpenAI (with Hugging Face) · Red Teaming · Week 30, 2026
- Heretic
p-e-w · Alignment & Safety · Week 18, 2026
- DeepTeam
Confident AI · Red Teaming · Week 45, 2025
- 0
0sec Labs · AI Security Harness · Week 47, 2026
- A thousand fewer paths to root
OpenAI · Autonomous Vuln Patching · Week 46, 2026
More from Microsoft Research
Published by Quanta AI Labs, an AI agency in India. Browse every week in AI News Weekly.