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.

4 in Ai Model Access · 101 total

IDTitleSummary
AML.T0040AI Model Inference API AccessAdversaries may gain access to a model via legitimate access to the inference API. Inference API access can be a source of information to the adversary ([Disco…
AML.T0041Physical Environment AccessIn addition to the attacks that take place purely in the digital domain, adversaries may also exploit the physical environment for their attacks. If the model …
AML.T0044Full AI Model AccessAdversaries may gain full "white-box" access to an AI model. This means the adversary has complete knowledge of the model architecture, its parameters, and cla…
AML.T0047AI-Enabled Product or ServiceAdversaries may use a product or service that uses artificial intelligence under the hood to gain access to the underlying AI model. This type of indirect mode…
Sourced from MITRE ATLAS. Curated by Adam Lundqvist, Founder at SQUR.
MITRE ATLAS adversarial ML techniques — by tactic | SQUR Knowledge Base