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.
5 in Ai Attack Staging · 101 total
| ID | Title | Summary |
|---|---|---|
| AML.T0005 | Create Proxy AI Model | Adversaries may obtain models to serve as proxies for the target model in use at the victim organization. Proxy models are used to simulate complete access to … |
| AML.T0042 | Verify Attack | Adversaries can verify the efficacy of their attack via an inference API or access to an offline copy of the target model. This gives the adversary confidence … |
| AML.T0043 | Craft Adversarial Data | Adversarial data are inputs to an AI model that have been modified such that they cause the adversary's desired effect in the target model. Effects can range f… |
| AML.T0088 | Generate Deepfakes | Adversaries may use generative artificial intelligence (GenAI) to create synthetic media (i.e. imagery, video, audio, and text) that appear authentic. These "[… |
| AML.T0102 | Generate Malicious Commands | Adversaries may use large language models (LLMs) to dynamically generate malicious commands from natural language. Dynamically generated commands may be harder… |