Adversarial Pattern Recognition (APR): A Governance‑Layer Discipline for Non‑Deterministic Systems
Abstract
This artifact defines Adversarial Pattern Recognition (APR), a governance‑layer discipline for detecting and interpreting adversarial dynamics across human and machine substrates. APR provides a taxonomy of adversarial patterns, emotional‑substrate indicators, operator‑state transitions, and governance implications for non‑deterministic systems. This is a public‑safe edition containing conceptual and structural elements without operational thresholds or sensitive detail.
Fields of Study & Subjects
Adversarial Robustness in Machine Learning
Information and Cyber Security
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 February 2026
- Language
- EN
- Document type
- Preprint