CYBER● ELEVATED1h ago · Oct 16, 2026, 11:04 AM
Backdooring Open-Weight AI Models
Schneier · global
This is a problem: Any open model whose weights have been edited can carry a backdoor, whether it’s a task-specific fine-tune, a merged adapter or an abliterated build. We have abliterated models in the title because it’s the most popular reason people download modified weights without verifying what’s inside. Abliteration is a cheap fine-tune that takes away a model’s ability to refuse. You find the direction in the weights that carries “no” and subtract it. The model then answers things a safety-tuned version would turn down. It began as a research trick a
GlobeAlert aggregates and classifies open sources; the story above belongs to its publisher. Summaries are machine-generated from the source text.
More in Cyber
CYBERnow[Virtual Event] Cybersecurity Outlook 2027Dark ReadingCYBERnow[Virtual Event] What Every Enterprise Should Know About Securing Cloud Assets in the Age of AIDark ReadingCYBER1h agoAre my smart home devices always watching me? How to stay safe (and private) in a connected houseThe TelegraphCYBER1h agoAttacks on Russian data centers did not silence troll armiesNOS Buitenland