101 indexed
ATLASATLAS adversarial ML techniques
101 MITRE ATLAS top-level techniques covering the adversarial-ML attack surface, grouped by tactic. Authored by Adam Lundqvist.
6 in Exfiltration · 101 total
| ID | Title | Summary |
|---|---|---|
| AML.T0024 | Exfiltration via AI Inference API | Adversaries may exfiltrate private information via [AI Model Inference API Access](/techniques/AML.T0040). AI Models have been shown leak private information a… |
| AML.T0025 | Exfiltration via Cyber Means | Adversaries may exfiltrate AI artifacts or other information relevant to their goals via traditional cyber means. See the ATT&CK [Exfiltration](https://attack… |
| AML.T0056 | Extract LLM System Prompt | Adversaries may attempt to extract a large language model's (LLM) system prompt. This can be done via prompt injection to induce the model to reveal its own sy… |
| AML.T0057 | LLM Data Leakage | Adversaries may craft prompts that induce the LLM to leak sensitive information. This can include private user data or proprietary information. The leaked info… |
| AML.T0077 | LLM Response Rendering | An adversary may get a large language model (LLM) to respond with private information that is hidden from the user when the response is rendered by the user's … |
| AML.T0086 | Exfiltration via AI Agent Tool Invocation | AI agent tools capable of performing write operations may be invoked to exfiltrate data to an adversary. Sensitive information can be encoded into the tool's i… |