2 papers
cs.CR2026
Oracle Poisoning: Corrupting Knowledge Graphs to Weaponise AI Agent Reasoning
Ben Kereopa-Yorke, Guillermo Diaz, Holly Wright +3
We define Oracle Poisoning, an attack class in which an adversary corrupts a structured knowledge graph that AI agents query at runtime via tool-use protocols, causing incorrect co…
cs.LG2023
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security
Harriet Farlow, Matthew Garratt, Gavin Mount +1
Adversarial Machine Learning (AML) represents the ability to disrupt Machine Learning (ML) algorithms through a range of methods that broadly exploit the architecture of deep learn…