Cybersecurity for SMEs: Tackling the Challenges of Adversarial Machine Learning and AI Threats
The NIST report “Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigation” (NIST.AI.100-2) is the result of the collaboration between the public and private sectors and academia. It identifies some of the ways data used in the training or deployment phases of AI can be manipulated to produce counterproductive outcomes. Large language models (LLMs) used to train AI, for example, are so large they are impossible to monitor completely.
