AML.T0059 demonstrated
Erode Dataset Integrity
Adversaries may poison or manipulate portions of a dataset to reduce its usefulness, reduce trust, and cause users to waste resources correcting errors.
> curated attacks (2)
Incident medium 2025-03-06
LLM Grooming: Flooding Training Data to Seed Disinformation
A pro-Kremlin website network mass-published millions of propaganda articles, seemingly to seep into the data that trains and grounds LLMs. An audit found leading chatbots repeated the network's false claims about a third of the time — a data-integrity attack on the model supply chain.
Research high 2024-06-06
Web-Scale Data Poisoning: The Split-View Attack
Web-scale datasets distributed as lists of URLs can be poisoned by buying expired domains behind those URLs. What researchers downloaded when the dataset was built differs from what later trainers fetch — cheaply poisoning real training corpora.