Practice-Informed, Practice-Ready: An AI security incident taxonomy

arXiv:2412.14855 · cs.CR · Submitted 2024-12-19 · Read on arXiv

cs.CR

Submitted: 2024-12-19

Updated: 2026-08-26

Terminology

• AI Agents — 12× in this paper · explained in 2 episodes
• Artificial Intelligence — 11× in this paper
• Actor — 5× in this paper · explained in 3 episodes
• Verification — 5× in this paper · explained in 2 episodes
• Accountability — 4× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Adversarial Attacks — 2× in this paper · explained in 1 episode
• Adversarial Examples — 2× in this paper · explained in 2 episodes
• Adversarial Robustness — 2× in this paper · explained in 3 episodes
• Common Vulnerability Scoring System — 2× in this paper
• Common Weakness Enumeration — 2× in this paper
• Differential Privacy — 2× in this paper · explained in 4 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• National Vulnerability Database — 2× in this paper
• Abstraction — 1× in this paper · explained in 1 episode
• Agentic AI — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Data Provenance — 1× in this paper · explained in 2 episodes
• Formal Verification — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• On Evaluating Adversarial Robustness
• Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered Applications
• Assessing Language Model Deployment with Risk Cards
• Establishing Minimum Elements for Effective Vulnerability Management in AI Software
• In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI
• Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
• When does Bias Transfer in Transfer Learning?
• Clio: Privacy-Preserving Insights into Real-World AI Use

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