Abstract diagram of a neural network with corrupted input nodes highlighted in red.

Poisoning Attacks on LLMs: How Adversaries Corrupt Models and What Defenders Can Do

Poisoning attacks corrupt the data, weights, or fine-tuning process of large language models. This post breaks down the attack surface, walks through recent incidents, and lays out the defenses working teams can ship today.

September 2, 2026 · 10 min · 2082 words · martinuke0
Feedback