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.
7 in Initial Access · 101 total
| ID | Title | Summary |
|---|---|---|
| AML.T0010 | AI Supply Chain Compromise | Adversaries may gain initial access to a system by compromising the unique portions of the AI supply chain. This could include [Hardware](/techniques/AML.T0010… |
| AML.T0012 | Valid Accounts | Adversaries may obtain and abuse credentials of existing accounts as a means of gaining Initial Access. Credentials may take the form of usernames and password… |
| AML.T0015 | Evade AI Model | Adversaries can [Craft Adversarial Data](/techniques/AML.T0043) that prevents an AI model from correctly identifying the contents of the data or [Generate Deep… |
| AML.T0049 | Exploit Public-Facing Application | Adversaries may attempt to take advantage of a weakness in an Internet-facing computer or program using software, data, or commands in order to cause unintende… |
| AML.T0052 | Phishing | Adversaries may send phishing messages to gain access to victim systems. All forms of phishing are electronically delivered social engineering. Phishing can be… |
| AML.T0078 | Drive-by Compromise | Adversaries may gain access to an AI system through a user visiting a website over the normal course of browsing, or an AI agent retrieving information from th… |
| AML.T0093 | Prompt Infiltration via Public-Facing Application | An adversary may introduce malicious prompts into the victim's system via a public-facing application with the intention of it being ingested by an AI at some … |